315 AI & Emerging Technologies jobs in India

**Introduction**
In this role, you'll work in one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. Our delivery centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology.
**Your role and responsibilities**
* Work with broader team to build, analyze and improve the AI solutions.
* You will also work with our software developers in consuming different enterprise applications
**Required technical and professional expertise**
* Resource should have 5-7 years of experience. Sound knowledge of Python and should know how to use the ML related services.
* Proficient in Python with focus on Data Analytics Packages.
* Strategy Analyse large, complex data sets and provide actionable insights to inform business decisions.
* Strategy Design and implementing data models that help in identifying patterns and trends. Collaboration Work with data engineers to optimize and maintain data pipelines.
* Perform quantitative analyses that translate data into actionable insights and provide analytical, data-driven decision-making. Identify and recommend process improvements to enhance the efficiency of the data platform. Develop and maintain data models, algorithms, and statistical models
**Preferred technical and professional experience**
* Experience with conversation analytics. Experience with cloud technologies
* Experience with data exploration tools such as Tableu
IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.

**Introduction**
In this role, you'll work in one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. Our delivery centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology
**Your role and responsibilities**
* Scale an existing RAG code base for a production grade AI application Requirements: Proficiency in Prompt Engineering, LLMs, and Retrieval Augmented Generation Programming languages like Python or Java Experience with vector databases
* Experience using LLMs in software applications, including prompting, calling, and processing outputs
* Experience with AI frameworks such as LangChain
* * Troubleshooting skills and creative in finding new ways to leverage LLM Experience with Azure
* Proof of Concept (POC) Development: Develop POCs to validate and showcase the feasibility and effectiveness of the proposed AI solutions. Collaborate with development teams to implement and iterate on POCs, ensuring alignment with customer requirements and expectations.
* Help in showcasing the ability of Gen AI code assistant to refactor/rewrite and document code from one language to another, particularly COBOL to JAVA through rapid prototypes/ PoC
* Documentation and Knowledge Sharing: Document solution architectures, design decisions, implementation details, and lessons learned. Create technical documentation, white papers, and best practice guides. Contribute to internal knowledge sharing initiatives and mentor new team members.
* Industry Trends and Innovation: Stay up to date with the latest trends and advancements in AI, foundation models, and large language models. Evaluate emerging technologies, tools, and frameworks to assess their potential impact on solution design and implementation.
* Experience in python and pyspark will be added advantage
**Required technical and professional expertise**
* Strong programming skills, with proficiency in Python and experience with AI frameworks such as TensorFlow, PyTorch, Keras or Hugging Face. Understanding in the usage of libraries such as SciKit Learn, Pandas, Matplotlib, etc. Familiarity with cloud platforms (e.g. Kubernetes, AWS, Azure, GCP) and related services is a plus.
* Experience and working knowledge in COBOL & JAVA would be preferred
* Having experience in Code generation, code matching & code translation Prepare the effort estimates, WBS, staffing plan, RACI, RAID etc. .
* Excellent interpersonal and communication skills. Engage with stakeholders for analysis and implementation. Commitment to continuous learning and staying updated with advancements in the field of AI.
* Demonstrate a growth mindset to understand clients' business processes and challenges
**Preferred technical and professional experience**
* Education: Bachelor's, Master's, or Ph.D. degree in Computer Science, Artificial Intelligence, Data Science or a related field.
* Ability to communicate with internal and external clients to understand and define business needs, providing analytical solutions
* Ability to communicate results to technical and non-technical audiences
IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.

**Introduction**
In this role, you'll work in one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. Our delivery centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology
**Your role and responsibilities**
* Scale an existing RAG code base for a production grade AI application Requirements: Proficiency in Prompt Engineering, LLMs, and Retrieval Augmented Generation Programming languages like Python or Java Experience with vector databases
* Experience using LLMs in software applications, including prompting, calling, and processing outputs
* Experience with AI frameworks such as LangChain
* * Troubleshooting skills and creative in finding new ways to leverage LLM Experience with Azure
* Proof of Concept (POC) Development: Develop POCs to validate and showcase the feasibility and effectiveness of the proposed AI solutions. Collaborate with development teams to implement and iterate on POCs, ensuring alignment with customer requirements and expectations.
* Help in showcasing the ability of Gen AI code assistant to refactor/rewrite and document code from one language to another, particularly COBOL to JAVA through rapid prototypes/ PoC
* Documentation and Knowledge Sharing: Document solution architectures, design decisions, implementation details, and lessons learned. Create technical documentation, white papers, and best practice guides. Contribute to internal knowledge sharing initiatives and mentor new team members.
* Industry Trends and Innovation: Stay up to date with the latest trends and advancements in AI, foundation models, and large language models. Evaluate emerging technologies, tools, and frameworks to assess their potential impact on solution design and implementation.
* Experience in python and pyspark will be added advantage
**Required technical and professional expertise**
* Strong programming skills, with proficiency in Python and experience with AI frameworks such as TensorFlow, PyTorch, Keras or Hugging Face. Understanding in the usage of libraries such as SciKit Learn, Pandas, Matplotlib, etc. Familiarity with cloud platforms (e.g. Kubernetes, AWS, Azure, GCP) and related services is a plus.
* Experience and working knowledge in COBOL & JAVA would be preferred
* Having experience in Code generation, code matching & code translation Prepare the effort estimates, WBS, staffing plan, RACI, RAID etc. .
* Excellent interpersonal and communication skills. Engage with stakeholders for analysis and implementation. Commitment to continuous learning and staying updated with advancements in the field of AI.
* Demonstrate a growth mindset to understand clients' business processes and challenges
**Preferred technical and professional experience**
* Education: Bachelor's, Master's, or Ph.D. degree in Computer Science, Artificial Intelligence, Data Science or a related field.
* Ability to communicate with internal and external clients to understand and define business needs, providing analytical solutions
* Ability to communicate results to technical and non-technical audiences
IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.

**Introduction**
In this role, you'll work in one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. Our delivery centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology.
**Your role and responsibilities**
* As an Associate Data Scientist at IBM, you will work to solve business problems using leading edge and open-source tools such as Python, R, and TensorFlow, combined with IBM tools and our AI application suites. You will prepare, analyze, and understand data to deliver insight, predict emerging trends, and provide recommendations to stakeholders.
* In your role, you may be responsible for:
* Implementing and validating predictive and prescriptive models and creating and maintaining statistical models with a focus on big data & incorporating machine learning. techniques in your projects
* Writing programs to cleanse and integrate data in an efficient and reusable manner
* Working in an Agile, collaborative environment, partnering with other scientists, engineers, consultants and database administrators of all backgrounds and disciplines to bring analytical rigor and statistical methods to the challenges of predicting behaviors
* Communicating with internal and external clients to understand and define business needs and appropriate modelling techniques to provide analytical solutions.
* Evaluating modelling results and communicating the results to technical and non-technical audiences.
**Required technical and professional expertise**
* Proof of Concept (POC) Development: Develop POCs to validate and showcase the feasibility and effectiveness of the proposed AI solutions.
* Collaborate with development teams to implement and iterate on POCs, ensuring alignment with customer requirements and expectations.
* Help in showcasing the ability of Gen AI code assistant to refactor/rewrite and document code from one language to another, particularly COBOL to JAVA through rapid prototypes/ PoC
* Document solution architectures, design decisions, implementation details, and lessons learned.
* Create technical documentation, white papers, and best practice guides.
**Preferred technical and professional experience**
* Strong programming skills, with proficiency in Python and experience with AI frameworks such as TensorFlow, PyTorch, Keras or Hugging Face.
* Understanding in the usage of libraries such as SciKit Learn, Pandas, Matplotlib, etc. Familiarity with cloud platforms
* Experience and working knowledge in COBOL & JAVA would be preferred.
IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.

**Our Company:**
At Teradata, we believe that people thrive when empowered with better information. That's why we built the most complete cloud analytics and data platform for AI. By delivering harmonized data, trusted AI, and faster innovation, we uplift and empower our customers-and our customers' customers-to make better, more confident decisions. The world's top companies across every major industry trust Teradata to improve business performance, enrich customer experiences, and fully integrate data across the enterprise.
**What you will do:**
In this role you will lead a critical and highly visible function within Teradata Vantage platform. You will be given the opportunity to autonomously deliver the technical direction of the service, and the feature roadmap. You will work with extraordinary talent and have the opportunity to shape the team to best execute on the product.
**Job Responsibilities:**
+ Design, develop, and scale intelligent software systems that power **autonomous AI agents** capable of reasoning, planning, acting, and learning in real-world environments.
+ Lead the implementation of core **Agentic AI components** - including agent memory, context-aware planning, multi-step tool use, and self-reflective behavior loops.
+ Architect robust, cloud-native backends that support high-throughput agent pipelines across AWS, Azure, or GCP, with best-in-class observability and fault tolerance.
+ Build seamless integrations with large language models (LLMs) such as GPT-4, Claude, Gemini, or open-source models - using advanced techniques like function calling, dynamic prompting, and multi-agent orchestration.
+ Develop scalable APIs and services to connect agents with internal tools, vector databases, RAG pipelines, and external APIs.
+ Own technical delivery of major agent-related features, leading design reviews, code quality standards, and engineering best practices.
+ Collaborate cross-functionally with researchers, ML engineers, product managers, and UX teams to translate ideas into intelligent, performant, and production-ready systems.
+ Define and implement testing strategies to validate agentic behavior in both deterministic and probabilistic conditions.
+ Guide junior engineers and peers by mentoring, unblocking challenges, and championing a culture of technical excellence.
+ Continuously evaluate emerging frameworks, libraries, and research to drive innovation in our Agentic AI stack.
**What makes you a qualified candidate:**
+ 5+ years of hands-on experience in backend development, distributed systems, or AI infrastructure, with a proven track record of delivering in high-scale environments.
+ Expertise in building and deploying **AI-integrated software** , particularly with LLMs and frameworks like LangChain, AutoGen, CrewAI, Semantic Kernel, or custom orchestrators.
+ Strong development skills in **Python** (preferred), Go, Java, or similar languages used in intelligent system design.
+ Practical knowledge of agentic AI principles - including task decomposition, autonomous decision-making, memory/context management, and multi-agent collaboration.
+ Familiarity with **vector databases** (Pinecone, Weaviate, FAISS) and embedding models for semantic search and retrieval-augmented generation (RAG).
+ Deep experience working with cloud platforms (AWS, Azure, or GCP), containerized environments (Docker/Kubernetes), and infrastructure-as-code (Terraform, Ansible).
+ Demonstrated ability to design clean APIs, modular microservices, and resilient, maintainable backend systems.
+ Clear communicator with the ability to simplify complex AI system behaviors into actionable architecture.
+ Passion for AI and a hunger to build systems that push the boundaries of autonomous software.
+ Strong understanding of Agile software development, CI/CD practices, and collaborative team workflows.
**What you will bring:**
+ BS or MS degree in Computer Science, Artificial Intelligence, Software Engineering, or a related technical field.
+ A solid foundation in software engineering principles, including system design, data structures, algorithms, and distributed computing.
+ Proven ability to work in a fast-paced, innovation-driven environment where engineers take full ownership from concept to deployment.
+ Experience deploying and operating intelligent systems in production environments with live users and evolving requirements.
+ Curiosity, creativity, and the mindset of a builder - someone who thrives at the intersection of **AI research and real-world impact** .
+ Desire to help shape the future of software agents by building scalable, reliable, and intelligent backends that unlock new capabilities in autonomy and adaptability.
**Why we think you will love Teradata:**
We prioritize a people-first culture because we know our people are at the very heart of our success. We embrace a flexible work model because we trust our people to make decisions about how, when, and where they work. We focus on well-being because we care about our people and their ability to thrive both personally and professionally. We are an anti-racist company because our dedication to Diversity, Equity, and Inclusion is more than a statement. It is a deep commitment to doing the work to foster an equitable environment that celebrates people for all of who they are.
#LI-NT1
Why We Think You'll Love Teradata
We prioritize a people-first culture because we know our people are at the very heart of our success. We embrace a flexible work model because we trust our people to make decisions about how, when, and where they work. We focus on well-being because we care about our people and their ability to thrive both personally and professionally. We are committed to actively working to foster an inclusive environment that celebrates people for all of who they are.

AI Infrastructure Engineer - C++ & Golang | Artificial Intelligence | Linux | Kubernetes | Docker | 11-18 Yrs
Apply ( Location:Bangalore, India
+ Area of InterestEngineer - Software
+ Job TypeProfessional
+ Technology InterestSoftware Development
+ Job Id
**Meet the Team** 

We are an innovation team on a mission to transform how enterprises harness AI. Operating with the agility of a startup and the focus of an incubator, we're building a tight-knit group of AI and infrastructure experts driven by bold ideas and a shared goal: to rethink systems from the ground up and deliver breakthrough solutions that redefine what's possible - faster, leaner, and smarter.
We thrive in a fast-paced, experimentation-rich environment where new technologies aren't just welcome - they're expected. Here, you'll work side-by-side with seasoned engineers, architects, and thinkers to craft the kind of iconic products that can reshape industries and unlock entirely new models of operation for the enterprise.
If you're energized by the challenge of solving hard problems, love working at the edge of what's possible, and want to help shape the future of AI infrastructure - we'd love to meet you.
**IMPACT**
Cisco is seeking a forward-thinking **AI Infrastructure Engineer** to help design and implement the next-generation AI products. This role will focus on delivering high-performance, efficient, and reliable solutions that power AI workloads across Cisco's ecosystem.
As an AI Infrastructure Engineer at Cisco, you will play a pivotal role in shaping the AI systems that enable cutting-edge innovations. Your work will directly impact:
- The performance and efficiency of AI workloads on the node.
- The reliability and availability of AI systems for Cisco's customers.
- Advancements in AI and machine learning infrastructure, enabling better utilization and improving efficiency for applications across industries.
- Collaboration across internal teams to bring system level innovation across different cisco products.
Your contributions will help Cisco maintain its leadership in AI infrastructure development and influence the broader AI and machine learning community.
**Key Responsibilities**
- Design and develop node-level infrastructure components to support high-performance AI workloads.
- Benchmark, analyze, and optimize the performance of AI infrastructure, including CUDA kernels and memory management for GPUs.
- Minimize downtime through seamless config and upgrade architecture for software components.
- Manage the installation and deployment of AI infrastructure on Kubernetes clusters, including the use of CRDs and operators.
- Develop and deploy efficient telemetry collection systems for nodes and hardware components without impacting workload performance.
- Work with distributed system fundamentals to ensure scalability, resilience, and reliability.
- Collaborate across teams and time zones to shape the overall direction of AI infrastructure development and achieve shared goals.
**Minimum Qualifications:**
- Proficiency in programming languages such as C/C++, Golang, Python, or eBPF.
- Strong understanding of Linux operating systems, including user space and kernel-level components.
- Experience with Linux user space development, including packaging, logging, telemetry and lifecycle management of processes.
- Strong understanding of Kubernetes (K8s) and related technologies, such as custom resource definitions (CRDs).
- Strong debugging and problem-solving skills for complex system-level issues.
- Bachelor's degree+ and relevant 11+ years of Engineering work experience.
**Preferred Qualifications:**
- Linux kernel and device driver hands-on expertise is a plus.
- Experience in GPU programming and optimization, including CUDA, UCX is a plus.
- Experience with high-speed data transfer technologies such as RDMA.
- Use of Nvidia GPU operators and Nvidia container toolkit and Nsight, CUPTI.
- Nvidia MIG and MPS concepts for managing GPU consumption.
**#WeAreCisco** (This is the Standard and cannot be changed)
#WeAreCisco where every individual brings their unique skills and perspectives together to pursue our purpose of powering an inclusive future for all.
Our passion is connection-we celebrate our employees' diverse set of backgrounds and focus on unlocking potential. Cisconians often experience one company, many careers where learning and development are encouraged and supported at every stage. Our technology, tools, and culture pioneered hybrid work trends, allowing all to not only give their best, but be their best.
We understand our outstanding opportunity to bring communities together and at the heart of that is our people. One-third of Cisconians collaborate in our 30 employee resource organizations, called Inclusive Communities, to connect, foster belonging, learn to be informed allies, and make a difference. Dedicated paid time off to volunteer-80 hours each year-allows us to give back to causes we are passionate about, and nearly 86% do!
Our purpose, driven by our people, is what makes us the worldwide leader in technology that powers the internet. Helping our customers reimagine their applications, secure their enterprise, transform their infrastructure, and meet their sustainability goals is what we do best. We ensure that every step we take is a step towards a more inclusive future for all. Take your next step and be you, with us!
**Message to applicants applying to work in the U.S. and/or Canada:**
When available, the salary range posted for this position reflects the projected hiring range for new hire, full-time salaries in U.S. and/or Canada locations, not including equity or benefits. For non-sales roles the hiring ranges reflect base salary only; employees are also eligible to receive annual bonuses. Hiring ranges for sales positions include base and incentive compensation target. Individual pay is determined by the candidate's hiring location and additional factors, including but not limited to skillset, experience, and relevant education, certifications, or training. Applicants may not be eligible for the full salary range based on their U.S. or Canada hiring location. The recruiter can share more details about compensation for the role in your location during the hiring process.
U.S. employees haveaccess ( to quality medical, dental and vision insurance, a 401(k) plan with a Cisco matching contribution, short and long-term disability coverage, basic life insurance and numerous wellbeing offerings.
Employees receive up to twelve paid holidays per calendar year, which includes one floating holiday (for non-exempt employees), plus a day off for their birthday. Non-Exempt new hires accrue up to 16 days of vacation time off each year, at a rate of 4.92 hours per pay period. Exempt new hires participate in Cisco's flexible Vacation Time Off policy, which does not place a defined limit on how much vacation time eligible employees may use, but is subject to availability and some business limitations. All new hires are eligible for Sick Time Off subject to Cisco's Sick Time Off Policy and will have eighty (80) hours of sick time off provided on their hire date and on January 1st of each year thereafter. Up to 80 hours of unused sick time will be carried forward from one calendar year to the next such that the maximum number of sick time hours an employee may have available is 160 hours. Employees in Illinois have a unique time off program designed specifically with local requirements in mind. All employees also have access to paid time away to deal with critical or emergency issues. We offer additional paid time to volunteer and give back to the community.
Employees on sales plans earn performance-based incentive pay on top of their base salary, which is split between quota and non-quota components. For quota-based incentive pay, Cisco typically pays as follows:
.75% of incentive target for each 1% of revenue attainment up to 50% of quota;
1.5% of incentive target for each 1% of attainment between 50% and 75%;
1% of incentive target for each 1% of attainment between 75% and 100%; and once performance exceeds 100% attainment, incentive rates are at or above 1% for each 1% of attainment with no cap on incentive compensation.
For non-quota-based sales performance elements such as strategic sales objectives, Cisco may pay up to 125% of target. Cisco sales plans do not have a minimum threshold of performance for sales incentive compensation to be paid.
Cisco is an Affirmative Action and Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, national origin, genetic information, age, disability, veteran status, or any other legally protected basis.
Cisco will consider for employment, on a case by case basis, qualified applicants with arrest and conviction records.

AI Infrastructure Engineer - C++ & Golang | Artificial Intelligence | Linux | Kubernetes | Docker | 8-12 Yrs
Apply ( Location:Bangalore, India
+ Area of InterestEngineer - Software
+ Job TypeProfessional
+ Technology InterestSoftware Development
+ Job Id
**Meet the Team**
We are an innovation team on a mission to transform how enterprises harness AI. Operating with the agility of a startup and the focus of an incubator, we're building a tight-knit group of AI and infrastructure experts driven by bold ideas and a shared goal: to rethink systems from the ground up and deliver breakthrough solutions that redefine what's possible - faster, leaner, and smarter.
We thrive in a fast-paced, experimentation-rich environment where new technologies aren't just welcome - they're expected. Here, you'll work side-by-side with seasoned engineers, architects, and thinkers to craft the kind of iconic products that can reshape industries and unlock entirely new models of operation for the enterprise.
If you're energized by the challenge of solving hard problems, love working at the edge of what's possible, and want to help shape the future of AI infrastructure - we'd love to meet you.
**IMPACT**
Cisco is seeking a forward-thinking **AI Infrastructure Engineer** to help design and implement the next-generation AI products. This role will focus on delivering high-performance, efficient, and reliable solutions that power AI workloads across Cisco's ecosystem.
As an AI Infrastructure Engineer at Cisco, you will play a pivotal role in shaping the AI systems that enable cutting-edge innovations. Your work will directly impact:
- The performance and efficiency of AI workloads on the node.
- The reliability and availability of AI systems for Cisco's customers.
- Advancements in AI and machine learning infrastructure, enabling better utilization and improving efficiency for applications across industries.
- Collaboration across internal teams to bring system level innovation across different cisco products.
Your contributions will help Cisco maintain its leadership in AI infrastructure development and influence the broader AI and machine learning community.
**Key Responsibilities**
- Design and develop node-level infrastructure components to support high-performance AI workloads.
- Benchmark, analyze, and optimize the performance of AI infrastructure, including CUDA kernels and memory management for GPUs.
- Minimize downtime through seamless config and upgrade architecture for software components.
- Manage the installation and deployment of AI infrastructure on Kubernetes clusters, including the use of CRDs and operators.
- Develop and deploy efficient telemetry collection systems for nodes and hardware components without impacting workload performance.
- Work with distributed system fundamentals to ensure scalability, resilience, and reliability.
- Collaborate across teams and time zones to shape the overall direction of AI infrastructure development and achieve shared goals.
**Minimum Qualifications:**
- Proficiency in programming languages such as C/C++, Golang, Python, or eBPF.
- Strong understanding of Linux operating systems, including user space and kernel-level components.
- Experience with Linux user space development, including packaging, logging, telemetry and lifecycle management of processes.
- Strong understanding of Kubernetes (K8s) and related technologies, such as custom resource definitions (CRDs).
- Strong debugging and problem-solving skills for complex system-level issues.
- Bachelor's degree+ and relevant 8-12 years of Engineering work experience.
**Preferred Qualifications:**
- Linux kernel and device driver hands-on expertise is a plus.
- Experience in GPU programming and optimization, including CUDA, UCX is a plus.
- Experience with high-speed data transfer technologies such as RDMA.
- Use of Nvidia GPU operators and Nvidia container toolkit and Nsight, CUPTI.
- Nvidia MIG and MPS concepts for managing GPU consumption.
**#WeAreCisco** (This is the Standard and cannot be changed)
#WeAreCisco where every individual brings their unique skills and perspectives together to pursue our purpose of powering an inclusive future for all.
Our passion is connection-we celebrate our employees' diverse set of backgrounds and focus on unlocking potential. Cisconians often experience one company, many careers where learning and development are encouraged and supported at every stage. Our technology, tools, and culture pioneered hybrid work trends, allowing all to not only give their best, but be their best.
We understand our outstanding opportunity to bring communities together and at the heart of that is our people. One-third of Cisconians collaborate in our 30 employee resource organizations, called Inclusive Communities, to connect, foster belonging, learn to be informed allies, and make a difference. Dedicated paid time off to volunteer-80 hours each year-allows us to give back to causes we are passionate about, and nearly 86% do!
Our purpose, driven by our people, is what makes us the worldwide leader in technology that powers the internet. Helping our customers reimagine their applications, secure their enterprise, transform their infrastructure, and meet their sustainability goals is what we do best. We ensure that every step we take is a step towards a more inclusive future for all. Take your next step and be you, with us!
**Message to applicants applying to work in the U.S. and/or Canada:**
When available, the salary range posted for this position reflects the projected hiring range for new hire, full-time salaries in U.S. and/or Canada locations, not including equity or benefits. For non-sales roles the hiring ranges reflect base salary only; employees are also eligible to receive annual bonuses. Hiring ranges for sales positions include base and incentive compensation target. Individual pay is determined by the candidate's hiring location and additional factors, including but not limited to skillset, experience, and relevant education, certifications, or training. Applicants may not be eligible for the full salary range based on their U.S. or Canada hiring location. The recruiter can share more details about compensation for the role in your location during the hiring process.
U.S. employees haveaccess ( to quality medical, dental and vision insurance, a 401(k) plan with a Cisco matching contribution, short and long-term disability coverage, basic life insurance and numerous wellbeing offerings.
Employees receive up to twelve paid holidays per calendar year, which includes one floating holiday (for non-exempt employees), plus a day off for their birthday. Non-Exempt new hires accrue up to 16 days of vacation time off each year, at a rate of 4.92 hours per pay period. Exempt new hires participate in Cisco's flexible Vacation Time Off policy, which does not place a defined limit on how much vacation time eligible employees may use, but is subject to availability and some business limitations. All new hires are eligible for Sick Time Off subject to Cisco's Sick Time Off Policy and will have eighty (80) hours of sick time off provided on their hire date and on January 1st of each year thereafter. Up to 80 hours of unused sick time will be carried forward from one calendar year to the next such that the maximum number of sick time hours an employee may have available is 160 hours. Employees in Illinois have a unique time off program designed specifically with local requirements in mind. All employees also have access to paid time away to deal with critical or emergency issues. We offer additional paid time to volunteer and give back to the community.
Employees on sales plans earn performance-based incentive pay on top of their base salary, which is split between quota and non-quota components. For quota-based incentive pay, Cisco typically pays as follows:
.75% of incentive target for each 1% of revenue attainment up to 50% of quota;
1.5% of incentive target for each 1% of attainment between 50% and 75%;
1% of incentive target for each 1% of attainment between 75% and 100%; and once performance exceeds 100% attainment, incentive rates are at or above 1% for each 1% of attainment with no cap on incentive compensation.
For non-quota-based sales performance elements such as strategic sales objectives, Cisco may pay up to 125% of target. Cisco sales plans do not have a minimum threshold of performance for sales incentive compensation to be paid.
Cisco is an Affirmative Action and Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, national origin, genetic information, age, disability, veteran status, or any other legally protected basis.
Cisco will consider for employment, on a case by case basis, qualified applicants with arrest and conviction records.

**Make an impact with NTT DATA**
Join a company that is pushing the boundaries of what is possible. We are renowned for our technical excellence and leading innovations, and for making a difference to our clients and society. Our workplace embraces diversity and inclusion - it's a place where you can grow, belong and thrive.
**Your day at NTT DATA**
The Architecture Consultant is a seasoned level expert who is responsible for participating in the delivery of multi-technology consulting services to clients by providing strategies and solutions on all aspects of infrastructure and related technology components.
This role collaborates with other stakeholders on the development of the architectural approach for one or more layer of a solution. This role has the primary objective is to work on strategic projects that ensure the optimal functioning of the client's technology infrastructure.
**Key responsibilities:**
+ Brings subject matter expertise related multi-technology infrastructure design best practice.
+ Works in partnership with internal stakeholders on the development of the architectural approach for one or more layer of a solution.
+ Participates in the investigation, planning, coordination, and preparation of feasibility studies relative to new computer-based systems and modifications to existing systems.
+ Works on strategies and solutions that define meta-architectural designs for solutions, addressing the styles, mechanisms and principles that combine to formulate the architectural vision for a specific environment.
+ Collaborates with stakeholders on the development of new services to take to market, information on relevant vertical markets and keep up to date on developments in specific technology domains.
+ Participates in the pre-sales process.
+ Engages with clients directly and collaborates with sales on selling solutions and services.
+ Participates in the delivery of business development processes including opportunity identification, presales, scoping, deal closing and driving delivery.
+ Designs principal methodologies to perform a detailed analysis of the client requirements.
+ Presents clients with solutions and convinces and persuades internal and external stakeholders of the right course of action.
**To thrive in this role, you need to have:**
+ Ability to focus on detail with an understanding of how it impacts the business strategically.
+ Excellent client service orientation.
+ Ability to work in high-pressure situations.
+ Ability to establish and manage processes and practices through collaboration and the understanding of business.
+ Ability to create new and repeat business for the organization.
+ Ability to contribute information on relevant vertical markets
+ Ability to contribute to the improvement of internal effectiveness by contributing to the improvement of current methodologies, processes and tools.
**Academic qualifications and certifications:**
+ Bachelor's degree or equivalent in Information Technology and/or Business Management or a related field.
+ Scaled Agile certification desirable.
+ Relevant consulting and technical certifications preferred, for example TOGAF.
**Required experience:**
+ Seasoned demonstrable experience in a similar role within a large scale (preferably multi- national) technology services environment.
+ Seasoned multi-technology infrastructure design experience.
+ Seasoned demonstrable level of expertise coupled with consulting and client engagement experience, demonstrating good experience in client needs assessment and change management.
**Workplace type** **:**
On-site Working
**About NTT DATA**
NTT DATA is a $30+ billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long-term success. We invest over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure, and connectivity. We are also one of the leading providers of digital and AI infrastructure in the world. NTT DATA is part of NTT Group and headquartered in Tokyo.
**Equal Opportunity Employer**
NTT DATA is proud to be an Equal Opportunity Employer with a global culture that embraces diversity. We are committed to providing an environment free of unfair discrimination and harassment. We do not discriminate based on age, race, colour, gender, sexual orientation, religion, nationality, disability, pregnancy, marital status, veteran status, or any other protected category. Join our growing global team and accelerate your career with us. Apply today.