14,684 AI Architect jobs in India

Your potential, unleashed.

India’s impact on the global economy has increased at an exponential rate and Deloitte presents an opportunity to unleash and realise your potential amongst cutting edge leaders, and organisations shaping the future of the region, and indeed, the world beyond.

At Deloitte, your whole self to work, every day. Combine that with our drive to propel with purpose and you have the perfect playground to collaborate, innovate, grow, and make an impact that matters.

JOB SUMMARY:

Architecture Design : Design end-to-end architecture for AI solutions, including data ingestion, processing, modeling, deployment, and monitoring. Define architecture patterns, components, and interfaces to ensure scalability, performance, and reliability.

Innovation - Identify opportunities for leveraging AI to drive innovation, improve processes, and create value for internal stakeholders.

Technology Evaluation : Evaluate and select appropriate AI technologies, frameworks, and tools to support the implementation of AI solutions. Stay abreast of emerging AI trends and advancements to inform technology decisions and architectural design.

Model Development and Optimization: Collaborate with data scientists and machine learning engineers to develop and optimize machine learning and deep learning models. Ensure best practices in model development, training, evaluation, and deployment.

Integration and Deployment : Integrate AI solutions into existing systems and infrastructure. Define deployment strategies and processes for deploying AI models in production environments, including cloud-based and edge computing platforms.

Performance Monitoring and Optimization : Establish monitoring and optimization mechanisms to track the performance, accuracy, and efficiency of AI systems in production. Implement feedback loops and continuous improvement processes to optimize AI models and algorithms over time.

Governance and Compliance : Define governance policies and practices for AI development, deployment, and usage. Ensure compliance with regulatory requirements, ethical standards, and privacy considerations in AI initiatives.

Collaboration and Leadership : Collaborate with cross-functional teams, including data scientists, engineers, product managers, and business stakeholders, to drive AI projects from concept to delivery. Provide technical leadership and mentorship to team members.

Qualifications:

•Bachelor's, Master's, or Ph.D. degree in Computer Science, Artificial Intelligence, or a related field.

•Minimum of 7+ years of relevant professional experience as an AI Architect or similar role, with a focus on designing and implementing AI solutions.

•Deep understanding of machine learning, deep learning, and other AI techniques and algorithms.

•Experience with AI development frameworks and libraries such as TensorFlow, PyTorch, scikit-learn, or Apache MXNet.

•Proficiency in programming languages such as Python, Java, or Scala.

•Strong knowledge of cloud platforms such as AWS, Azure, or Google Cloud Platform.

•Experience with containerization and orchestration technologies such as Docker and Kubernetes.

•Excellent problem-solving skills and analytical thinking.

•Strong communication and collaboration skills, with the ability to work effectively in cross-functional teams.

•Leadership experience, with the ability to inspire and influence team members and stakeholders.

Preferred Qualifications:

•Experience with AI applications in specific domains such as computer vision, natural language processing, or reinforcement learning.

•Knowledge of edge computing and IoT (Internet of Things) technologies.

•Understanding of DevOps principles and practices for AI development and deployment.

Your role as a Deputy Manager/Manager

We expect our people to embrace and live our purpose by challenging themselves to identify issues that are most important for our clients, our people, and for society.

In addition to living our purpose, Senior Executive across our organization must strive to be:

• Inspiring - Leading with integrity to build inclusion and motivation
• Committed to creating purpose - Creating a sense of vision and purpose
• Agile - Achieving high-quality results through collaboration and Team unity
• Skilled at building diverse capability - Developing diverse capabilities for the future
• Persuasive / Influencing - Persuading and influencing stakeholders
• Collaborating - Partnering to build new solutions
• Delivering value - Showing commercial acumen
• Committed to expanding business - Leveraging new business opportunities
• Analytical Acumen - Leveraging data to recommend impactful approach and solutions through the power of analysis and visualization
• Effective communication – Must be well abled to have well-structured and well-articulated conversations to achieve win-win possibilities
• Engagement Management / Delivery Excellence - Effectively managing engagement(s) to ensure timely and proactive execution as well as course correction for the success of engagement(s)
• Managing change - Responding to changing environment with resilience
• Managing Quality & Risk - Delivering high quality results and mitigating risks with utmost integrity and precision
• Strategic Thinking & Problem Solving - Applying strategic mindset to solve business issues and complex problems
• Tech Savvy - Leveraging ethical technology practices to deliver high impact for clients and for Deloitte
• Empathetic leadership and inclusivity - creating a safe and thriving environment where everyone's valued for who they are, use empathy to understand others to adapt our behaviours and attitudes to become more inclusive.

How you’ll grow

Connect for impact

Our exceptional team of professionals across the globe are solving some of the world’s most complex business problems, as well as directly supporting our communities, the planet, and each other. Know more in our Global Impact Report and our India Impact Report .

Empower to lead

You can be a leader irrespective of your career level. Our colleagues are characterised by their ability to inspire, support, and provide opportunities for people to deliver their best and grow both as professionals and human beings. Know more about Deloitte and our One Young World partnership.

Inclusion for all

At Deloitte, people are valued and respected for who they are and are trusted to add value to their clients, teams and communities in a way that reflects their own unique capabilities. Know more about everyday steps that you can take to be more inclusive. At Deloitte, we believe in the unique skills, attitude and potential each and every one of us brings to the table to make an impact that matters.

Drive your career

At Deloitte, you are encouraged to take ownership of your career. We recognise there is no one size fits all career path, and global, cross-business mobility and up / re-skilling are all within the range of possibilities to shape a unique and fulfilling career. Know more about Life at Deloitte.

Everyone’s welcome… entrust your happiness to us

Our workspaces and initiatives are geared towards your 360-degree happiness. This includes specific needs you may have in terms of accessibility, flexibility, safety and security, and caregiving. Here’s a glimpse of things that are in store for you.

Interview tips

We want job seekers exploring opportunities at Deloitte to feel prepared, confident and comfortable. To help you with your interview, we suggest that you do your research, know some background about the organisation and the business area you’re applying to. Check out recruiting tips from Deloitte professionals.

Senior Innovation Architect

Job Description Overview

A Senior Innovation Architect is a client-facing technology leader responsible for driving high-impact innovation within enterprise organizations. In a technical services company that builds leveraged innovation pods , this role works closely with clients to identify transformative use cases and rapidly prototype solutions. The Senior Innovation Architect ensures all innovative solutions align with the client’s security requirements and enterprise architecture standards, while spearheading projects in cutting-edge domains like agentified AI, conversational AI, and enterprise automation . The position demands a strong blend of technical expertise in AI/ML and automation, enterprise system knowledge, and excellent stakeholder management skills to bridge business goals with emerging technologies.

Key Responsibilities

• Innovation Use Case Identification: Engage with client stakeholders to uncover and prioritize high-impact innovation opportunities. Analyze business challenges and identify use cases where emerging technologies (AI, automation, analytics ) can deliver significant value. Develop innovation roadmaps aligned to client business goals.
• Solution Architecture & Alignment: Design end-to-end solutions for approved innovation use cases, creating solid architectures that balance novelty with feasibility. Ensure all solutions adhere to the client’s security policies and enterprise architecture standards (compliance with data privacy, identity management, etc. Work with client Enterprise Architecture and Security teams to obtain necessary design approvals and ensure governance compliance.
• Lead Innovation Pods: Lead cross-functional “innovation pods” – small, agile teams – to rapidly develop prototypes and pilot solutionsi . Coordinate developers, data scientists, domain SMEs, and designers in an autonomous pod to deliver proofs-of-concept and MVPs using agile methodologies. Iterate on solutions based on feedback and evolving requirements.
• Technical Leadership in AI & Automation: Serve as the subject matter expert in emerging technologies. Guide projects focused on:
• Agentified AI: Implement AI-driven agents or autonomous processes that can perform tasks or decision-making on behalf of users.
• Conversational AI: Develop intelligent chatbots and voice assistants for enterprise use (customer service bots, virtual assistants, etc.).
• Enterprise Automation: Drive process automation initiatives (e.g. RPA, workflow orchestration, intelligent BPA) to streamline operations.
• Provide hands-on technical direction and architectural guidance in these domains, ensuring solutions are scalable and integrate with existing systems.
• Cross-Platform Integration: Oversee the integration of innovative solutions with enterprise platforms and data sources. Work across diverse technologies – for example, embedding AI/automation into Microsoft and Google Cloud ecosystems, ServiceNow workflows, Salesforce and other CRM systems, Workday, Oracle ERP, or healthcare systems – as needed by the client environment. Ensure interoperability and data flow between new solutions and legacy systems through APIs, microservices, or middleware.
• Client Collaboration & Management: Act as a primary point of contact for innovation projects with clients. Facilitate workshops and ideation sessions to shape solution concepts. Manage stakeholder expectations through clear communication of project scope, timelines, and impact. Provide regular updates and demonstrations of progress to client executives. Ensure strong client buy-in and change management for adopting new innovations.
• Alignment with Compliance & Standards: Navigate enterprise processes to get innovations from idea to deployment. Work within client architecture review boards, compliance reviews, and security assessments to ensure solutions meet regulatory and data security standards (e.g. GDPR, HIPAA in healthcare, ISO 27001) and adhere to IT governance. Adjust solution designs as needed to address any compliance or risk concerns.
• ROI Analysis & Business Case: For each innovation initiative, contribute to defining KPIs and success metrics. Help prepare business cases or ROI analyses to demonstrate the expected benefits (cost savings, efficiency gains, revenue impact) of the innovative solution. Track outcomes from pilot projects and use data to justify scaling successful innovations across the organization.
• Mentoring & Knowledge Sharing: Mentor junior architects and technical team members in new technologies and architecture best practices. Promote a culture of innovation and experimentation within both the internal team and the client organization. Document insights, lessons, and reusable frameworks from projects to leverage across future innovation pods .

Required Qualifications & Experience

• Education: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field. Advanced degrees or relevant certifications (e.g. in AI/ML or Enterprise Architecture ) are a plus.
• Experience: Approximately 8–10 years of experience working with cutting-edge technologies in enterprise environments. This should include hands-on architecture or development of AI/ML solutions, intelligent automation, and systems integration projects. Prior roles could be in solution architecture, innovation labs, or enterprise architecture functions.
• AI/ML Expertise: Strong background in artificial intelligence and machine learning. Experience designing or implementing solutions such as predictive analytics, natural language processing, conversational AI (chatbots) , or generative AI applications. Familiarity with AI frameworks (TensorFlow, PyTorch) and AI cloud services (Azure AI, Google Vertex AI, AWS ML services, etc.).
• Automation & Integration: Proven experience with enterprise automation tools and integration techniques. This may include RPA platforms (e.g. UiPath, Automation Anywhere), workflow automation, business process management suites, or custom scripting to integrate systems. Ability to design integrations via APIs, ETL pipelines, message queues, or middleware to connect heterogeneous systems.
• Enterprise Systems Knowledge: Broad understanding of enterprise application landscapes – for example, experience working with or integrating SaaS platforms like ServiceNow (ITSM workflows), Salesforce (CRM), Workday (HRIS), Oracle or SAP (ERP), and industry-specific systems (such as EHRs in healthcare). Able to quickly learn new platforms’ capabilities and constraints to design compatible innovative solutions.
• Architecture & Security Acumen: Deep knowledge of enterprise architecture principles and design patterns. Familiarity with architecture frameworks (TOGAF or similar) and cloud architecture best practices. Experience navigating architecture governance, compliance, and data security in large organizations – e.g. understanding data protection policies, identity and access management, network security basics, and regulatory constraints that affect solution design.
• Project Leadership: Demonstrated ability to lead technology projects or innovation initiatives end-to-end. Skilled in agile project management and comfortable overseeing fast-paced prototype development. Able to coordinate cross-functional teams (developers, analysts, UX, etc.) and external vendors if required.
• Communication & Stakeholder Management: Excellent client-facing communication skills. Proven ability to engage with both technical and non-technical stakeholders – from engineering teams to C-suite executives. Strong presentation and storytelling skills to articulate vision and technical concepts in business terms. Experience in managing stakeholder expectations and securing buy-in for new ideas.
• Problem-Solving & Innovation Mindset: A creative thinker who stays updated on emerging tech trends. Passion for experimenting with new tools and approaches. Comfortable with a “fail-fast” mindset to quickly prototype, learn, and iterate. Strong analytical and problem-solving skills to devise innovative solutions to complex business problems.
• Adaptability: Experience working in ambiguous, evolving environments. Ability to adapt to different industries and client contexts quickly. Enthusiasm for continuous learning and upskilling in fast-moving technology domains.

Skills Checklist

• AI & Machine Learning: Proficient in AI/ML concepts (deep learning, NLP, computer vision) and familiar with frameworks like TensorFlow or PyTorch. Experience with conversational AI (chatbot development) and AI agent frameworks is highly desirable.
• Generative AI Tools: Hands-on exposure to generative AI models (e.g. GPT-4, DALL·E) and their applications. Ability to leverage large language models and AI APIs to build intelligent agents or automation.
• Cloud Platforms: Strong knowledge of at least one major cloud platform (Microsoft Azure, Google Cloud, or AWS). Able to use cloud services for AI (Azure Cognitive Services, GCP AI Platform, etc.), and design cloud-native architectures for scalability.
• Enterprise Software & Integration: Familiar with enterprise software ecosystems including CRM, ERP, ITSM, and HR systems. Skilled in integrating new solutions with existing systems via RESTful APIs, webhooks, middleware, or iPaaS tools.
• Automation Technologies: Experience with robotic process automation tools, workflow orchestration, and scripting. Understands how to automate data pipelines or business processes securely and reliably.

AI Architect

We are a US based Stealth mode Start-up

location: Hyderabad / Bangalore / Remote ( any where in India )

We unify the processes used in Semiconductor and Hardware Systems design - thus reducing bugs, improving efficiency and productivity

Our breakthrough technology has drawn investment from Silicon Valley’s boldest VCs and semiconductor pioneers. Beyond capital, they bring decades of expertise and powerful networks,

AI Architect:

This role offers an exceptional opportunity to influence, innovate, and push the boundaries of AI technology for Collateral Generation and Product Life Cycle management

Key Responsibilities:

- Define and lead the technology development in advancing AI, Gen AI, and Agentic AI

- Innovation is the key, ability to think above and build innovative solutions

- Publish white papers, patents to position the organization as an industry leader

Who you are:

- BS/MS/PhD in Computer science or equivalent

- 6+ years of experience in conceptualizing, designing AI/GenAI solutions deployment at scale

- Proficiency in,

- Python, TensorFlow, PyTorch, AI/ML frameworks, NLP

- Training LLMs, ML models, and Compute infrastructure

- Working with NoSQL and Vector databases

- Gen AI testing frameworks

- Git, CI/CD, Linux Scripting

Contact:

Uday

Mulya Technologies

'Mining The Knowledge Community'

AI Architect(GENAI)

About Nous

Nous Infosystems is a CMMI® Level 5 and ISO 9001:2000 certified global information Technology Company with expertise in providing quality software solutions and IT-enabled support services to a wide range of industries. Nous was incorporated in 1996 with the mission of providing the highest quality software development services to clients around the world. Over the years, we have successfully broadened our service offerings to include consultancy services, software and hardware testing services, and a comprehensive range of IT enabled services.

We are on the lookout for strong AI Architects with the following skills.

Job Title: AI Architect

Experience: 10+ years

Location: Bengaluru

Job Description:

We are looking for a highly skilled AI Architect to design and deliver scalable, secure, and business-driven AI/ML solutions with a strong focus on Generative AI. The role requires expertise in AI/ML frameworks, cloud platforms, MLOps, and GenAI technologies, with the ability to translate complex business challenges into innovative technical solutions. The ideal candidate will act as a thought leader, mentor teams, and establish AI best practices across the organization.

Responsibilities:

• Architect, design, and oversee enterprise-grade Generative AI and AI/ML solutions.
• Define AI strategy, reference architectures, and best practices.
• Evaluate and implement Generative AI models (LLMs, SLMs).
• Develop and Integrate GenAI solutions for chatbots, document summarization, code generation, personalization, and automation use cases.
• Select and deploy AI/GenAI platforms and tools (e.g., OpenAI, LangChain, LagGraph, Semantic Kernel, RAG frameworks, ).
• Establish standards for model development, deployment, monitoring, and governance.
• Ensure AI/GenAI solutions are scalable, secure, ethical, and compliant.
• Collaborate with engineers, and business stakeholders to deliver impactful solutions.
• Drive innovation by staying updated with GenAI trends and emerging technologies.
• Mentor and guide teams in AI/ML and GenAI solution design.

Requirements:

• 10+ years of IT experience with experience in AI design and architecture.
• Expertise in ML/DL frameworks (TensorFlow, PyTorch, Scikit-learn, Keras).
• Experience with Generative AI (LLMs, NLP, Prompt Engineering, RAG, Vector Databases).
• Hands-on experience with cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes).
• Familiarity with GenAI tools/frameworks (LangChain, Hugging Face, OpenAI APIs).
• Experience in MLOps, CI/CD for ML, and model monitoring.
• Knowledge of big data ecosystems and data engineering.
• Understanding of data security, compliance, and Responsible AI practices.
• Strong leadership, communication, and solution architecture skills.

Please do share your latest profile to with the following details .

Current CTC :-

Expected CTC :-

Minimum Notice period :-

Regards

Team TA

AI Architect

Location : - Ascendion Office

2nd Floor, Prestige Blue Chip Software Park Tower-1, PRESTIGE BLUE CHIP SOFTWARE PARK, Marigowda Rd, Dairy Colony, Adugodi, Bengaluru, Karnataka

Job Summary:

Role Purpose

• Own the technical direction, solution integrity, and day-to-day engineering leadership for ongoing client projects in the Generative AI space. The architect guides cross-functional squads from design through production, ensuring scalable, maintainable, and compliant solutions.

Key Responsibilities

Solution Architecture

• Design end-to-end architecture covering React-TypeScript front-ends, FastAPI micro-services, Python business logic, Azure data layers, and OpenAI API integration.
• Define interface contracts, event flows, observability standards, and non-functional requirements (quality, security, data residency, performance)

Generative AI

• Establish prompt / response validation, abuse mitigation, and PII safeguards for GPT-4o -class models
• Benchmark chat completion and Responses API, embedding models and vector index strategies; tune retrieval pipelines for factual accuracy

Technical Leadership

• Convert epics to WBS , map to Jira boards, and drive backlog refinement with BAs
• Provide hands-on code reviews across UI, API, and data layers; resolve system-wide blockers

Delivery Management

• Align sprint goals with contractual milestones, working with Program Director;
• Coordinate SIT/UAT, oversee automated regression with Pytest , Jest / Playwright , and CI/CD pipelines

Stakeholder Engagement

• Present solution trade-offs to client architects and execs; adjudicate scope vs. risk
• Mentor 10-15 engineers; run architecture guilds and knowledge-sharing sessions

Minimum Qualifications

• 12+ years designing and shipping full-stack SaaS or data platforms, with 5 + years in architectural leadership.
• Proven production use of LLM-powered features (e.g., RAG, multi-agent orchestration).
• Deep expertise in React , TypeScript , FastAPI , Python 3.11+ , asynchronous patterns, and REST/GraphQL.
• Hands-on with Azure PaaS (Blob, Functions, ADF, ACR, AKS) and IaC (Bicep/Terraform).
• Strong grasp of test automation—Pytest , Jest , Selenium / Playwright —and quality gates.
• Familiarity with data modeling, SQL/NoSQL (Azure SQL, Cosmos DB), vector stores, and Delta Lake.
• Demonstrated ability to lead distributed teams and interface with C-level stakeholders.

Preferred Qualifications

• Prior work on financial-services analytics or regulatory environments.
• Experience hardening Azure OpenAI deployments for enterprise use.
• Exposure to Observability stacks (OpenTelemetry, Prometheus, Grafana) and threat modelling

About the Role : We are looking for a talented and curious Generative AI Developer to join our growing AI team. In this role, you will work on cutting-edge projects involving large language models (LLMs), multimodal AI, and custom generative solutions for real-world use cases. You’ll collaborate with data scientists, ML engineers, and product teams to build, fine-tune, and deploy generative AI models that drive innovation and efficiency.

Key Responsibilities

• Develop and fine-tune LLMs and generative AI models for NLP, image, or multimodal tasks.
• Implement and optimize prompts, embeddings, and retrieval-augmented generation (RAG) pipelines.
• Integrate Gen AI capabilities into products, services, and enterprise applications.
• Collaborate with cross-functional teams (data science, product, backend) to deliver end-to-end AI features.
• Continuously evaluate new Gen AI tools, models (e.g., GPT, Claude, LLaMA, Mistral), and platforms (OpenAI, Hugging Face, LangChain, etc.).
• Ensure model performance, scalability, and safety through testing, monitoring, and feedback loops.
• Participate in research, POCs, and innovation sprints around Gen AI use cases.

Required Skills & Experience

• 5 - 8 years of hands-on experience in software development or machine learning, with at least 2year in Generative AI or LLM-based projects.
• Proficiency in Python and experience with ML/AI libraries such as Hugging Face Transformers, PyTorch, or TensorFlow.
• Experience working with APIs from OpenAI, Anthropic, Cohere, or similar Gen AI providers.
• Familiarity with prompt engineering, vector databases (e.g., Pinecone, FAISS, Weaviate), and RAG techniques.
• Good understanding of model fine-tuning, transfer learning, and model evaluation.
• Strong problem-solving skills and ability to learn quickly in a fast-paced environment.
• Excellent communication and collaboration abilities.

Nice to Have

• Experience with LangChain, LlamaIndex, or other Gen AI orchestration tools.
• Exposure to cloud platforms (AWS, GCP, Azure) and MLOps tools.
• Knowledge of multimodal AI (text + image/audio/video).
• Contributions to open-source AI projects or research publications.

What We Offer

• Opportunity to work on cutting-edge AI technologies and real-world Gen AI applications.
• A collaborative and innovative culture that values experimentation.
• Access to top AI tools, models, and cloud infrastructure.
• Competitive compensation and benefits.
• Flexible work options and career growth opportunities.

We are CirrusLabs . Our vision is to become the world's most sought-after niche digital transformation company that helps customers realize value through innovation. Our mission is to co-create success with our customers, partners and community. Our goal is to enable employees to dream, grow and make things happen. We are committed to excellence. We are a dependable partner organization that delivers on commitments. We strive to maintain integrity with our employees and customers. Every action we take is driven by value. The core of who we are is through our well-knit teams and employees. You are the core of a values driven organization.

You have an entrepreneurial spirit. You enjoy working as a part of well-knit teams. You value the team over the individual. You welcome diversity at work and within the greater community. You aren't afraid to take risks. You appreciate a growth path with your leadership team that journeys how you can grow inside and outside of the organization. You thrive upon continuing education programs that your company sponsors to strengthen your skills and for you to become a thought leader ahead of the industry curve.

You are excited about creating change because your skills can help the greater good of every customer, industry and community. We are hiring a talented AI Architect to join our team. If you're excited to be part of a winning team, CirrusLabs ( ) is a great place to grow your career.

Experience - 8 - 10 years

Location - Bengaluru

Mandatory skills: Python, Gen AI, traditional ML, core Data scientist, ML Ops, Agentic AI

Position Overview

We are seeking an experienced AI Architect to join our dynamic team. This role combines deep technical expertise in traditional statistics, classical machine learning, and modern AI with full-stack development capabilities to build end-to-end intelligent systems. You'll work on revolutionary projects involving generative AI, large language models, and advanced data science applications.

Key Responsibilities

• AI/ML Development & Data Science: Design, develop, and deploy machine learning models ranging from classical algorithms to deep learning for production environments
• Apply traditional statistical methods including hypothesis testing, regression analysis, time series forecasting, and experimental design
• Build and optimize large language model applications including fine-tuning, prompt engineering, and model evaluation
• Implement Retrieval Augmented Generation (RAG) systems for enhanced AI capabilities
• Conduct advanced data analysis, statistical modeling, A/B testing, and predictive analytics using both classical and modern techniques
• Research and prototype cutting-edge generative AI solutions
• Traditional ML & Statistics: Implement classical machine learning algorithms including linear/logistic regression, decision trees, random forests, SVM, clustering, and ensemble methods
• Perform feature engineering, selection, and dimensionality reduction techniques
• Conduct statistical inference, confidence intervals, and significance testing
• Design and analyze controlled experiments and observational studies
• Apply Bayesian methods and probabilistic modeling approaches
• Full Stack Development: Develop scalable front-end applications using modern frameworks (React, Vue.js, Angular)
• Build robust backend services and APIs using Python, Node.js, or similar technologies
• Design and implement database solutions (SQL/NoSQL) optimized for ML workloads
• Create intuitive user interfaces for AI-powered applications and statistical dashboards
• MLOps & Infrastructure: Establish and maintain ML pipelines for model training, validation, and deployment
• Implement CI/CD workflows for ML models using tools like MLflow, Kubeflow, or similar
• Monitor model performance, drift detection, and automated retraining systems
• Deploy and scale ML solutions using cloud platforms (AWS, GCP, Azure)
• Containerize applications using Docker and orchestrate with Kubernetes
• Collaboration & Leadership: Work closely with data scientists, product managers, and engineering teams
• Mentor junior engineers and contribute to technical decision-making
• Participate in code reviews and maintain high development standards
• Stay current with latest AI/ML trends and technologies

Required Qualifications

• Experience & Education: 7-8 years of professional software development experience
• Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Machine Learning, Data Science, or related field
• 6+ years of hands-on AI/ML experience in production environments
• Technical Skills:Programming: Expert proficiency in Python, strong experience with JavaScript/TypeScript, R is a plus
• Traditional ML: Scikit-learn, XGBoost, LightGBM, classical algorithms and ensemble methods
• Statistics: Hypothesis testing, regression analysis, ANOVA, time series analysis, experimental design, Bayesian inference
• Statistical Tools: Experience with R, SAS, SPSS, or similar statistical software packages
• Deep Learning: TensorFlow, PyTorch, neural networks, computer vision, NLP
• LLM Experience: Working with GPT, Claude, Llama, or similar models; experience with fine-tuning and prompt engineering
• RAG Implementation: Vector databases (Pinecone, Weaviate, Chroma), embedding models, semantic search
• Data Science: Pandas, NumPy, statistical analysis, data visualization (Matplotlib, Plotly, Seaborn), feature engineering
• Full Stack: React/Vue.js, Node.js/FastAPI, REST/GraphQL APIs
• Databases: PostgreSQL, MongoDB, Redis, vector databases
• MLOps: Docker, Kubernetes, CI/CD, model versioning, monitoring tools
• Cloud Platforms: AWS/GCP/Azure, serverless architectures
• Soft Skills: Strong problem-solving and analytical thinking
• Excellent communication and collaboration abilities
• Self-motivated with ability to work in fast-paced environments
• Experience with agile development methodologies
• Preferred Qualifications Experience with causal inference methods and econometric techniques
• Knowledge of distributed computing frameworks (Spark, Dask)
• Experience with edge AI and model optimization techniques
• Publications in AI/ML/Statistics conferences or journals
• Open source contributions to ML/statistical projects
• Experience with advanced statistical modeling and multivariate analysis
• Familiarity with operations research and optimization techniques

We are
CirrusLabs
. Our vision is to become the world's most sought-after niche digital transformation company that helps customers realize value through innovation. Our mission is to co-create success with our customers, partners and community. Our goal is to enable employees to dream, grow and make things happen. We are committed to excellence. We are a dependable partner organization that delivers on commitments. We strive to maintain integrity with our employees and customers. Every action we take is driven by value. The core of who we are is through our well-knit teams and employees. You are the core of a values driven organization.

You have an entrepreneurial spirit. You enjoy working as a part of well-knit teams. You value the team over the individual. You welcome diversity at work and within the greater community. You aren't afraid to take risks. You appreciate a growth path with your leadership team that journeys how you can grow inside and outside of the organization. You thrive upon continuing education programs that your company sponsors to strengthen your skills and for you to become a thought leader ahead of the industry curve.

You are excited about creating change because your skills can help the greater good of every customer, industry and community. We are hiring a talented
AI Architect
to join our team. If you're excited to be part of a winning team, CirrusLabs (

) is a great place to grow your career.

Experience years

Location - Bengaluru

Job Summary:

We are seeking a
hands-on AI Engineer
to design, build, and deploy intelligent AI agents using
GCP Vertex AI
,
LangChain
, and modern UI tools like
Streamlit
. The ideal candidate will bring together skills in large language models (LLMs),
agent orchestration
,
MLOps
, and
user-friendly interface development
to create powerful and accessible AI solutions.

• Key Responsibilities:
  Design and implement
  LLM-based agents
  using
  LangChain
  , integrated with
  GCP Vertex AI
  services.
• Build
  interactive UIs
  using
  Streamlit
  or similar frameworks to showcase and test AI agent capabilities.
• Develop
  end-to-end ML pipelines
  for training, evaluation, and deployment using tools like
  Vertex Pipelines
  ,
  Kubeflow
  , or
  Airflow
  .
• Integrate with APIs, vector databases, and knowledge sources to enable
  RAG (Retrieval-Augmented Generation)
  workflows.
• Deploy scalable, secure AI services using
  CI/CD pipelines
  , infrastructure-as-code, and version-controlled model registries.
• Monitor model performance, manage experiments, and optimize agent behavior in production environments.

• Work cross-functionally with product, design, and engineering teams to deliver intuitive, high-impact AI-powered applications.

• Required Qualifications:
  Relevant of 3–6 years of hands-on experience in
  AI/ML engineering
  , including recent work with
  LLMs
  and
  LangChain
  .

• Proficiency with
  GCP Vertex AI
  tools such as Pipelines, Model Registry, Training, and Endpoints.
• Strong
  Python programming skills
  , with experience in
  FastAPI
  ,
  Flask
  , or similar web frameworks.
• Demonstrated experience building interactive dashboards or tools using
  Streamlit
  ,
  Gradio
  , or
  Dash
  .
• Knowledge of
  MLOps workflows
  , including tools like
  MLflow
  ,
  Weights & Biases
  , or
  Vertex AI Experiments
  .
• Experience working with
  vector stores
  (e.g., FAISS, Pinecone, Weaviate) in agent pipelines.
• Familiarity with
  retrieval-based QA
  , embeddings, and prompt engineering techniques.

• Experience with
  LangGraph
  or similar agent orchestration frameworks.

• Preferred Qualifications:
  Familiarity with
  cloud-native deployment
  and DevOps tools (Terraform, Docker, GCP Cloud Build).

• Background in
  UX/UI design thinking
  or rapid prototyping for AI-driven applications.
• Experience integrating LLMs with external APIs or private knowledge sources.