80 AI Architect jobs in Chennai
Agentic AI Architect
Posted 1 day ago
Job Viewed
Job Description
At Kyndryl, we design, build, manage and modernize the mission-critical technology systems that the world depends on every day. So why work at Kyndryl? We are always moving forward - always pushing ourselves to go further in our efforts to build a more equitable, inclusive world for our employees, our customers and our communities.
**The Role**
As a **Senior Agentic AI Architect** at Kyndryl, you are the visionary who shapes the architecture of intelligent, autonomous systems that redefine how enterprises operate. You'll lead the design and implementation of agentic AI solutions that go beyond traditional AI, combining reasoning, planning, autonomy, and orchestration to deliver measurable business impact. Each day brings opportunities to architect transformative solutions, mentor engineering teams, and set the technical direction for enterprise-scale adoption of agentic AI.
You'll engage deeply with business leaders and stakeholders-translating strategic objectives into agentic AI architectures. Instead of just building models, you'll define system blueprints for **multi-agent ecosystems** that can plan, reason, collaborate, and act in dynamic enterprise environments. Your expertise will guide the integration of data, knowledge graphs, APIs, and enterprise systems into scalable, secure, and resilient architectures.
In this role, you'll take ownership of the **end-to-end solution lifecycle** : business understanding, system design, governance, and deployment of intelligent agent frameworks that can adapt and evolve. Leveraging advanced reasoning, **retrieval-augmented generation (RAG)** , orchestration frameworks, and LLMOps practices, you'll architect solutions that are not only functional but **scalable, explainable, secure, and enterprise-ready** .
Beyond prototypes, you'll ensure agentic AI becomes **embedded in enterprise processes** -enabling automation, decision augmentation, and continuous value realization. You'll define reference architectures, best practices, and guardrails for deploying agentic AI responsibly, ensuring compliance with enterprise policies around **security, privacy, and trust** . As a senior leader, you'll guide engineering teams, influence platform strategy, and partner with cloud providers and technology alliances.
If you're ready to **set the standard for enterprise agentic AI adoption** , architecting the future of intelligent, autonomous systems at scale, join us at Kyndryl. Together, we'll push the boundaries of what's possible and unlock the next generation of enterprise transformation.
**Who You Are**
**Who You Are**
You are a **strategic thinker and technical leader** who thrives at the intersection of architecture, AI innovation, and enterprise transformation. You bring both **deep technical expertise and a growth mindset** -constantly exploring new frameworks and approaches to agentic AI. You're **customer-obsessed** , ensuring solutions align with business priorities, and you excel at influencing and collaborating across diverse teams, functions, and stakeholders. You combine a **practical engineering mindset with visionary architectural leadership** .
**Required Skills and Experience:**
+ Minimum 12 - 16 years of overall experience in IT industry.
+ Proven experience designing and deploying **enterprise-scale agentic AI architectures** , multi-agent systems, or autonomous orchestration solutions.
+ Expertise in **AI/ML development, LLM orchestration, and agent frameworks** such as LangChain, LlamaIndex, Hugging Face, AutoGen, CrewAI, or Azure AI Studio/Prompt Flow.
+ Strong architectural background in **cloud-native AI platforms** (Azure, AWS, GCP) and ability to define **scalable, resilient, and secure reference architectures** .
+ Demonstrated leadership in **AI solution design** , balancing innovation with enterprise-grade requirements (scalability, compliance, governance, and reliability).
+ Exceptional **communication and influence skills** , with the ability to guide executive stakeholders and mentor engineering teams.
+ Track record of managing **multiple enterprise AI initiatives simultaneously** , ensuring consistency, quality, and business alignment.
**Preferred Skills and Experience:**
+ Graduate / Postgraduate in Computer Science,computer engineering ,Artificial Intelligence, Data Science, or related field.
+ Professional certifications in cloud AI/ML architecture (e.g., Azure Solutions Architect Expert, AWS Machine Learning Specialty, GCP Professional Machine Learning Engineer).
+ Experience with **RAG, knowledge graph integration, tool orchestration, and autonomous agent design patterns** .
+ Familiarity with **enterprise AI governance frameworks** including security, privacy, observability, and ethical AI.
+ Domain expertise in **regulated or complex industries** such as financial services, healthcare, cybersecurity, or IT operations.
**Being You**
Diversity is a whole lot more than what we look like or where we come from, it's how we think and who we are. We welcome people of all cultures, backgrounds, and experiences. But we're not doing it single-handily: Our Kyndryl Inclusion Networks are only one of many ways we create a workplace where all Kyndryls can find and provide support and advice. This dedication to welcoming everyone into our company means that Kyndryl gives you - and everyone next to you - the ability to bring your whole self to work, individually and collectively, and support the activation of our equitable culture. That's the Kyndryl Way.
**What You Can Expect**
With state-of-the-art resources and Fortune 100 clients, every day is an opportunity to innovate, build new capabilities, new relationships, new processes, and new value. Kyndryl cares about your well-being and prides itself on offering benefits that give you choice, reflect the diversity of our employees and support you and your family through the moments that matter - wherever you are in your life journey. Our employee learning programs give you access to the best learning in the industry to receive certifications, including Microsoft, Google, Amazon, Skillsoft, and many more. Through our company-wide volunteering and giving platform, you can donate, start fundraisers, volunteer, and search over 2 million non-profit organizations. At Kyndryl, we invest heavily in you, we want you to succeed so that together, we will all succeed.
**Get Referred!**
If you know someone that works at Kyndryl, when asked 'How Did You Hear About Us' during the application process, select 'Employee Referral' and enter your contact's Kyndryl email address.
Kyndryl 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, gender, gender identity or expression, sexual orientation, national origin, genetics, pregnancy, disability, age, veteran status, or other characteristics. Kyndryl is also committed to compliance with all fair employment practices regarding citizenship and immigration status.
Agentic AI Architect
Posted 1 day ago
Job Viewed
Job Description
At Kyndryl, we design, build, manage and modernize the mission-critical technology systems that the world depends on every day. So why work at Kyndryl? We are always moving forward - always pushing ourselves to go further in our efforts to build a more equitable, inclusive world for our employees, our customers and our communities.
**The Role**
As a **Senior Agentic AI Architect** at Kyndryl, you are the visionary who shapes the architecture of intelligent, autonomous systems that redefine how enterprises operate. You'll lead the design and implementation of agentic AI solutions that go beyond traditional AI, combining reasoning, planning, autonomy, and orchestration to deliver measurable business impact. Each day brings opportunities to architect transformative solutions, mentor engineering teams, and set the technical direction for enterprise-scale adoption of agentic AI.
You'll engage deeply with business leaders and stakeholders-translating strategic objectives into agentic AI architectures. Instead of just building models, you'll define system blueprints for **multi-agent ecosystems** that can plan, reason, collaborate, and act in dynamic enterprise environments. Your expertise will guide the integration of data, knowledge graphs, APIs, and enterprise systems into scalable, secure, and resilient architectures.
In this role, you'll take ownership of the **end-to-end solution lifecycle** : business understanding, system design, governance, and deployment of intelligent agent frameworks that can adapt and evolve. Leveraging advanced reasoning, **retrieval-augmented generation (RAG)** , orchestration frameworks, and LLMOps practices, you'll architect solutions that are not only functional but **scalable, explainable, secure, and enterprise-ready** .
Beyond prototypes, you'll ensure agentic AI becomes **embedded in enterprise processes** -enabling automation, decision augmentation, and continuous value realization. You'll define reference architectures, best practices, and guardrails for deploying agentic AI responsibly, ensuring compliance with enterprise policies around **security, privacy, and trust** . As a senior leader, you'll guide engineering teams, influence platform strategy, and partner with cloud providers and technology alliances.
If you're ready to **set the standard for enterprise agentic AI adoption** , architecting the future of intelligent, autonomous systems at scale, join us at Kyndryl. Together, we'll push the boundaries of what's possible and unlock the next generation of enterprise transformation.
**Who You Are**
**Who You Are**
You are a **strategic thinker and technical leader** who thrives at the intersection of architecture, AI innovation, and enterprise transformation. You bring both **deep technical expertise and a growth mindset** -constantly exploring new frameworks and approaches to agentic AI. You're **customer-obsessed** , ensuring solutions align with business priorities, and you excel at influencing and collaborating across diverse teams, functions, and stakeholders. You combine a **practical engineering mindset with visionary architectural leadership** .
**Required Skills and Experience :**
+ Minimum 12 - 16 years of overall experience in IT industry.
+ Proven experience designing and deploying **enterprise-scale agentic AI architectures** , multi-agent systems, or autonomous orchestration solutions.
+ Expertise in **AI/ML development, LLM orchestration, and agent frameworks** such as LangChain, LlamaIndex, Hugging Face, AutoGen, CrewAI, or Azure AI Studio/Prompt Flow.
+ Strong architectural background in **cloud-native AI platforms** (Azure, AWS, GCP) and ability to define **scalable, resilient, and secure reference architectures** .
+ Demonstrated leadership in **AI solution design** , balancing innovation with enterprise-grade requirements (scalability, compliance, governance, and reliability).
+ Exceptional **communication and influence skills** , with the ability to guide executive stakeholders and mentor engineering teams.
+ Track record of managing **multiple enterprise AI initiatives simultaneously** , ensuring consistency, quality, and business alignment.
**Preferred Skills and Experience :**
+ Graduate / Postgraduate in Computer Science, computer engineering ,Artificial Intelligence, Data Science, or related field.
+ Professional certifications in cloud AI/ML architecture (e.g., Azure Solutions Architect Expert, AWS Machine Learning Specialty, GCP Professional Machine Learning Engineer).
+ Experience with **RAG, knowledge graph integration, tool orchestration, and autonomous agent design patterns** .
+ Familiarity with **enterprise AI governance frameworks** including security, privacy, observability, and ethical AI.
+ Domain expertise in **regulated or complex industries** such as financial services, healthcare, cybersecurity, or IT operations.
**Being You**
Diversity is a whole lot more than what we look like or where we come from, it's how we think and who we are. We welcome people of all cultures, backgrounds, and experiences. But we're not doing it single-handily: Our Kyndryl Inclusion Networks are only one of many ways we create a workplace where all Kyndryls can find and provide support and advice. This dedication to welcoming everyone into our company means that Kyndryl gives you - and everyone next to you - the ability to bring your whole self to work, individually and collectively, and support the activation of our equitable culture. That's the Kyndryl Way.
**What You Can Expect**
With state-of-the-art resources and Fortune 100 clients, every day is an opportunity to innovate, build new capabilities, new relationships, new processes, and new value. Kyndryl cares about your well-being and prides itself on offering benefits that give you choice, reflect the diversity of our employees and support you and your family through the moments that matter - wherever you are in your life journey. Our employee learning programs give you access to the best learning in the industry to receive certifications, including Microsoft, Google, Amazon, Skillsoft, and many more. Through our company-wide volunteering and giving platform, you can donate, start fundraisers, volunteer, and search over 2 million non-profit organizations. At Kyndryl, we invest heavily in you, we want you to succeed so that together, we will all succeed.
**Get Referred!**
If you know someone that works at Kyndryl, when asked 'How Did You Hear About Us' during the application process, select 'Employee Referral' and enter your contact's Kyndryl email address.
Kyndryl 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, gender, gender identity or expression, sexual orientation, national origin, genetics, pregnancy, disability, age, veteran status, or other characteristics. Kyndryl is also committed to compliance with all fair employment practices regarding citizenship and immigration status.
Data Science
Posted 21 days ago
Job Viewed
Job Description
Greetings from Colan Infotech!
Role - Data Scientist
Experience - 6+ Years
Job Location - Chennai
Notice Period - Immediate to 30 Days
Primary Skills Needed : AI/ML, Tensorflow, Django, Pytorch, NLP, Image processing,Gen AI,LLM
Secondary Skills Needed : Keras, OpenCV, Azure or AWS
Job Description:-
- Practical knowledge and working experience on Statistics and Operation Research methods.
- Practical knowledge and working experience in tools and frameworks like Flask, PySpark, Pytorch, tensorflow, keras, Databricks, OpenCV, Pillow/PIL, streamlit, d3js, dashplotly, neo4j.
- Good understanding of how to apply predictive and machine learning techniques like regression models, XGBoost, random forest, GBM, Neural Nets, SVM etc.
- Proficient with NLP techniques like RNN, LSTM and Attention based models and effectively handle readily available stanford, IBM, Azure, Open AI NLP models.
- Good understanding of SQL from a perspective of how to write efficient queries for pulling the data from database.
- Hands on experience on any version control tool (github, bitbucket). Experience of deploying ML models into production environment experience (MLOps) in any one of the cloud platforms like Azure and AWS
- Comprehend business issues and propose valuable business solutions.
- Design Factual or AI/profound learning models to address business issues.
- Design Statistical Models/ML/DL models and deploy them for production.
- Formulate what information is accessible from where and how to augment it.
- Develop innovative graphs for data comprehension using d3js, dashplotly and neo4j
Data Science
Posted 21 days ago
Job Viewed
Job Description
Greetings from Colan Infotech!
Role - Data Scientist
Experience - 6+ Years
Job Location - Chennai/Bangalore
Notice Period - Immediate to 30 Days
Primary Skills Needed : AI/ML, Tensorflow, Django, Pytorch, NLP, Image processing,Gen AI,LLM
Secondary Skills Needed : Keras, OpenCV, Azure or AWS
Job Description:-
- Practical knowledge and working experience on Statistics and Operation Research methods.
- Practical knowledge and working experience in tools and frameworks like Flask, PySpark, Pytorch, tensorflow, keras, Databricks, OpenCV, Pillow/PIL, streamlit, d3js, dashplotly, neo4j.
- Good understanding of how to apply predictive and machine learning techniques like regression models, XGBoost, random forest, GBM, Neural Nets, SVM etc.
- Proficient with NLP techniques like RNN, LSTM and Attention based models and effectively handle readily available stanford, IBM, Azure, Open AI NLP models.
- Good understanding of SQL from a perspective of how to write efficient queries for pulling the data from database.
- Hands on experience on any version control tool (github, bitbucket). Experience of deploying ML models into production environment experience (MLOps) in any one of the cloud platforms like Azure and AWS
- Comprehend business issues and propose valuable business solutions.
- Design Factual or AI/profound learning models to address business issues.
- Design Statistical Models/ML/DL models and deploy them for production.
- Formulate what information is accessible from where and how to augment it.
- Develop innovative graphs for data comprehension using d3js, dashplotly and neo4j
Interested candidates send updated resume to
AI Solution Architect
Posted 8 days ago
Job Viewed
Job Description
Job description
Job Title: AI Solution Architect
Location: Chennai
Experience: 12-19 years
Industry: Financial Services / IT Consulting
Job Summary-
We are looking for a hands-on AI Solution Architect to lead the design, development, and deployment of AI/ML solutions in the financial services domain. This role requires strong technical expertise, architectural vision, and the ability to deliver complex PoCs while mentoring development teams.
Key Responsibilities-
- Architecture & Design:
- Architect end-to-end AI/ML solutions for use cases like fraud detection, risk scoring, customer analytics, and generative AI.
- Define scalable, secure AI architectures integrating data ingestion, model training, deployment, and monitoring.
- Select tools, frameworks, and platforms based on business needs.
- Hands-On Development & PoCs:
- Build and validate PoCs using Python, TensorFlow/PyTorch, and cloud-native services.
- Rapidly prototype models and optimize for performance and compliance.
- Implementation & Mentorship:
- Guide development teams, conduct code reviews, and ensure adherence to standards.
- Promote best practices in MLOps, model governance, and responsible AI.
Required Qualifications
- Bachelors/Masters in Computer Science, Data Science, or related field.
- 12-19 years in software development, with 4+ years in AI/ML/GenAI solutioning.
- Strong Python programming and ML frameworks (TensorFlow, PyTorch).
- Experience with AWS/Azure/GCP and MLOps tools (MLflow, Kubeflow).
- Knowledge of data privacy regulations (GDPR, RBI guidelines).
Preferred Skills
- Exposure to LLMs , RAG architectures , vector databases, and generative AI.
- Strong problem-solving and design thinking skills.
- Excellent communication and client-facing abilities.
- Certifications in AI/ML or cloud architecture are a plus.
Director Data Science
Posted 1 day ago
Job Viewed
Job Description
Director Data Science – (AI/ML, GenAI & BFSI Focus)
From vision to enterprise impact — lead the future of AI innovation.
Location: Chennai, India
Experience: 13–15 years in Data Science/AI/ML (with strong BFSI or other data-rich industry expertise) We’re seeking trailblazers who go beyond building models — leaders who drive AI strategy, GenAI adoption, agentic automation, and enterprise-scale transformation with measurable business outcomes.
Role Overview
As a Principal Data Scientist, you will set the direction for AI/ML innovation, embedding Generative AI and Agentic AI systems into BFSI solutions that transform how enterprises operate. You’ll collaborate with executive stakeholders, mentor high-performing teams, and translate cutting-edge research into enterprise-ready AI platforms that deliver measurable ROI.
What makes you right for the role?
- Strategic AI & GenAI Leadership – Define and drive enterprise AI/ML roadmaps, including adoption of LLMs, multi-agent systems, and AI copilots aligned to business priorities.
- Agentic AI & Automation – Architect and deploy agentic workflows for decisioning, customer engagement, fraud detection, and operational intelligence.
- Advanced Modeling & GenAI Expertise – Lead development of scalable ML and GenAI solutions across fraud detection, customer intelligence, risk modeling, hyper-personalization, and intelligent document processing.
- Productization at Scale – Translate AI/GenAI research into robust, production-grade systems , ensuring security, compliance, and business value.
- Responsible AI & Governance – Partner with senior stakeholders to design responsible, explainable AI frameworks ensuring fairness, compliance, and trust.
- Thought Leadership – Represent Crayon in client workshops, industry forums, and innovation showcases, shaping the narrative of applied AI and Agentic in BFSI.
- Team & Innovation Leadership – Mentor senior data scientists, lead cross-functional teams, and champion best practices in MLOps, GenAIOps, and applied AI innovation.
The person you are
- Advanced degree (Master’s/PhD) in Machine Learning, AI, Computer Science, Applied Math, or Statistics.
- 11–13 years of proven experience applying ML/AI at scale, ideally in BFSI or similar data-rich, regulated industries.
- Deep expertise in Python, ML/GenAI frameworks (TensorFlow, PyTorch, Hugging Face, LangChain, LlamaIndex), and cloud platforms (AWS, Azure, GCP).
- Strong track record in AI strategy, GenAI adoption, and agentic automation with measurable ROI.
- A visionary mindset with passion for experimentation, innovation, and building next-gen AI ecosystems.
- Chennai-based, with flexibility to travel for client and global team collaborations.
Manager - Data Science
Posted 202 days ago
Job Viewed
Job Description
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Lead Clinical Data Science Programmer
Posted 1 day ago
Job Viewed
Job Description
ICON plc is a world-leading healthcare intelligence and clinical research organization. We're proud to foster an inclusive environment driving innovation and excellence, and we welcome you to join us on our mission to shape the future of clinical development.
We are currently seeking a Lead Clinical Data Science Programmer to join our diverse and dynamic team. As a Lead Clinical Data Science Programmer at ICON, you will play a key role in designing and developing clinical data solutions, ensuring the efficient handling, analysis, and reporting of complex clinical trial data. You will collaborate with cross-functional teams to drive data-driven insights that support the advancement of cutting-edge therapies and innovative clinical research.
**What You Will Be Doing:**
+ Leading the design, development, and validation of data science programming solutions for clinical trials.
+ Collaborating with biostatisticians, data managers, and clinical teams to develop data specifications and analysis plans.
+ Programming and validating datasets, tables, listings, and figures (TLFs) according to study requirements.
+ Ensuring the accuracy, consistency, and integrity of clinical data through rigorous quality control and validation checks.
+ Mentoring and guiding junior programmers and providing technical leadership within the data science programming team.
**Your Profile:**
+ Bachelor's or advanced degree in computer science, biostatistics, data science, or a related field.
+ Extensive experience in clinical data programming, with proficiency in SAS, R, or other relevant programming languages.
+ In-depth knowledge of clinical trial data structures, CDISC standards (SDTM, ADaM), and regulatory requirements.
+ Strong analytical and problem-solving skills, with a focus on data accuracy and quality.
+ Excellent communication and leadership skills, with the ability to work collaboratively in cross-functional teams and manage multiple projects simultaneously.
**What ICON can offer you:**
Our success depends on the quality of our people. That's why we've made it a priority to build a diverse culture that rewards high performance and nurtures talent.
In addition to your competitive salary, ICON offers a range of additional benefits. Our benefits are designed to be competitive within each country and are focused on well-being and work life balance opportunities for you and your family.
Our benefits examples include:
+ Various annual leave entitlements
+ A range of health insurance offerings to suit you and your family's needs.
+ Competitive retirement planning offerings to maximize savings and plan with confidence for the years ahead.
+ Global Employee Assistance Programme, LifeWorks, offering 24-hour access to a global network of over 80,000 independent specialized professionals who are there to support you and your family's well-being.
+ Life assurance
+ Flexible country-specific optional benefits, including childcare vouchers, bike purchase schemes, discounted gym memberships, subsidized travel passes, health assessments, among others.
Visit our careers site ( to read more about the benefits ICON offers.
At ICON, inclusion & belonging are fundamental to our culture and values. We're dedicated to providing an inclusive and accessible environment for all candidates. ICON is committed to providing a workplace free of discrimination and harassment. All qualified applicants will receive equal consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status.
If, because of a medical condition or disability, you need a reasonable accommodation for any part of the application process, or in order to perform the essential functions of a position, please let us know or submit a request here ( in the role, but unsure if you meet all of the requirements? We would encourage you to apply regardless - there's every chance you're exactly what we're looking for here at ICON whether it is for this or other roles.
Are you a current ICON Employee? Please click here ( to apply
Trainer – AI/ML/Data Science
Posted 3 days ago
Job Viewed
Job Description
Job Title: Trainer – AI/ML/Data Science (Data Focus)
Job Location: Chennai (MEPZ – Tambaram)
Experience: 4–5 Years
Work Mode: Full-Time, Work from Office
Job Description:
We are seeking a passionate and experienced Trainer in AI/ML/Data Science with a strong focus on data engineering and big data technologies . The ideal candidate will have hands-on experience in delivering technical training and designing engaging learning content.
Key Responsibilities:
- Deliver high-quality training sessions on AI, ML, and Data Science with emphasis on data engineering and big data tools.
- Design and develop training materials including presentations, labs, assessments, and case studies.
- Customize training programs based on audience profiles and industry needs.
- Conduct both classroom and virtual training sessions.
- Keep content updated with the latest industry trends and technologies.
- Evaluate learner performance and provide constructive feedback.
- Collaborate in curriculum development and training effectiveness reviews.
Required Skills & Experience:
- 4–5 years of experience in AI/ML/Data Science with exposure to big data tools.
- Proficient in Python and libraries like NumPy, Pandas, scikit-learn.
- Hands-on experience with big data platforms: Hadoop, Spark, Hive, Kafka.
- Strong understanding of data pipelines, preprocessing, and feature engineering.
- Experience in training lifecycle: content creation, delivery, and assessment.
- Excellent communication and presentation skills.
- Ability to simplify complex concepts for diverse audiences.
Preferred Qualifications:
- Bachelor’s/Master’s/PhD in Data Science, Computer Science, or related fields.
- Certifications in AI/ML/Data Engineering from reputed platforms.
- Prior experience in corporate or academic training.
- Familiarity with cloud platforms like AWS, GCP, or Azure.
AI Application Architect - AI, ML, GenAI, GCP, IBM Watsonx, Vertex AI, Python, MLOps
Posted 1 day ago
Job Viewed
Job Description
Découvrez votre prochaine opportunité au sein d'une organisation qui compte parmi les 500 plus importantes entreprises mondiales. Envisagez des opportunités innovantes, découvrez notre culture enrichissante et travaillez avec des équipes talentueuses qui vous poussent à vous développer chaque jour. Nous savons ce qu'il faut faire pour diriger UPS vers l'avenir : des personnes passionnées dotées d'une combinaison unique de compétences. Si vous avez les qualités, de la motivation, de l'autonomie ou le leadership pour diriger des équipes, il existe des postes adaptés à vos aspirations et à vos compétences d'aujourd'hui et de demain.
**Fiche de poste :**
Job Summary
We are seeking an accomplished AI Application Architect to join our AI Acceleration teams and play a pivotal role in designing and delivering enterprise-scale AI and Generative AI (GenAI) systems. As an AI Architect, you will be responsible for defining application architectures for ML/GenAI solutions on cloud platforms & tools such as GCP, Vertex AI, IBM Watsonx, leading end-to-end design and implementation, and driving adoption of emerging technologies and frameworks across the organization.
This is a hands-on technical leadership role that requires deep expertise in AI/ML fundamentals, enterprise architecture design, and practical experience building production-grade AI/GenAI solutions. You will collaborate with data scientists, ML engineers, software engineers, and business stakeholders to deliver scalable, secure, and innovative AI-powered systems that create measurable business value.
Key Responsibilities
+ Architect and design application and system architectures for ML/GenAI solutions on cloud platforms, tools (GCP, Vertex AI, IBM Watsonx).
+ Build, deploy, and maintain enterprise-scale AI/ML applications, ensuring they are production-ready, secure, and scalable.
+ Lead research and adoption of emerging AI/GenAI technologies, frameworks, and tools at the enterprise level.
+ Partner with product, engineering, and business teams to translate business challenges into robust AI/GenAI solutions.
+ Define end-to-end architecture for data pipelines, model development, deployment, monitoring, and retraining.
+ Promote and evangelize best practices in AI/ML system design, data governance, MLOps, and ethical/responsible AI.
+ Provide technical leadership and mentorship to AI/ML engineers and data scientists across business units.
+ Stay current with advances in AI/ML, GenAI, LLMs, and cloud-native architecture, and identify opportunities for adoption.
+ Define roadmaps and strategies that accelerate AI adoption and help the enterprise transition from descriptive to predictive and prescriptive analytics.
+ Collaborate with executives and cross-functional leaders to advocate AI/GenAI capabilities and drive enterprise-wide adoption.
Required Qualifications
Bachelor's or Master's degree in Computer Science, Engineering, or a related quantitative field.
Experience
+ 7+ years of experience designing, building, and deploying AI/ML solutions including monitoring, scaling, and optimization in production at enterprise scale.
+ Hands-on expertise in cloud platforms ( **GCP Vertex AI (preferred)** , AWS SageMaker, or Azure ML) and cloud-native application design.
+ Proven experience **designing enterprise-grade application architectures for ML/GenAI** workloads.
+ Strong programming skills in **Python,** Java, or C++, and proficiency with **ML/AI frameworks (PyTorch, TensorFlow, Keras)** .
+ Deep understanding of **ML/AI fundamentals** : statistical modeling, architectures, representation, reasoning, and generative models (LLMs, diffusion).
+ Hands on experience in one or more **ML domains** such as NLP, computer vision, or reinforcement learning.
+ Hands on experience in **MLOps practices and tools** (MLflow, TFX, Kubeflow, CI/CD pipelines, model monitoring).
+ Strong knowledge of software architecture principles, cloud networking, and security best practices.
+ Excellent communication and leadership skills, with the ability to influence stakeholders and lead technical discussions across business and engineering teams.
Preferred
+ Experience **leading research initiatives** and driving enterprise-wide adoption of new technologies.
+ Experience with **cross-functional enterprise projects** , including scoping, de-risking, and scaling AI/GenAI adoption.
+ Knowledge of data **governance, security frameworks** , **and regulatory compliance** (GDPR, HIPAA, SOX).
+ Prior experience launching AI/GenAI solutions into production at scale using both open-source and vendor platforms.
+ Active involvement in the AI/ML community through publications, open-source contributions, or industry collaborations.
**Type de contrat:**
en CDI
_Chez UPS, égalité des chances, traitement équitable et environnement de travail inclusif sont des valeurs clefs auxquelles nous sommes attachés._