Data Science - Senior Architect

Job Summary

We are looking for an experienced Data Science Sr. / Lead / Architect to architect and deliver enterprise AI solutions across Commercial, RD, and Sales Marketing within Healthcare Life Sciences.

The role combines AI architecture, GenAI/Agentic AI engineering, technical leadership, client consulting, solutioning, and rapid prototyping.

Location

Chennai, Tamil Nadu, India

Responsibilities

• AI Architecture Technical Leadership: Architect scalable, secure, production-ready AI/ML solutions spanning data, models, LLMs, agents, applications, APIs, infrastructure, security, and observability.
• Lead and mentor Data Scientists and Senior Data Scientists, driving technical excellence, coding standards, and delivery practices.
• Consulting Solutioning: Lead executive discovery with Sales, Account Management, Practice Leaders, and Delivery teams to understand client priorities, challenges, and transformation roadmaps.
• Drive proposals, presentations, solution architectures, demos, business cases, GTM assets, and thought leadership.
• Generative AI Agentic AI: Design and implement RAG architectures across structured and unstructured data, including embeddings, vector search, retrieval, reranking, and context management.
• Design multi-agent systems using LangGraph, including memory, planning, reasoning, tool use, and autonomous task execution.
• Integrate LLM applications with enterprise data, APIs, and business systems.
• ML Engineering MLOps: Design and operationalize end-to-end ML/AI pipelines with Data Engineering and MLOps teams, covering deployment, monitoring, versioning, evaluation, and lifecycle management.
• Rapidly build POCs, prototypes, and demos and translate them into measurable business value and ROI.

Qualifications / Experience

• 57+ years designing, building, and deploying AI/ML solutions.
• Experience in Pharmaceutical, Healthcare, or Life Sciences IT, including healthcare datasets such as EHR/EMR, claims, clinical, or imaging.
• Experience delivering production AI/ML solutions within quality, compliance, and regulated environments.
• Experience developing predictive models and/or digital twins.

Technical Skills

• Python and SQL with understanding of data modelling, ETL/ELT, pipelines, and data warehousing.
• TensorFlow and/or PyTorch.
• Hands-on experience with LLMs, Generative AI, RAG, LangChain/LangGraph, prompt engineering, tool calling, structured outputs, guardrails, evaluation, and model selection.
• Experience integrating AI applications with enterprise data, APIs, and business systems.
• Understanding of AWS/cloud architecture, MLOps tools such as MLflow, Kubeflow, or SageMaker, and containerization, CI/CD, deployment, monitoring, and production operations.
• Strong communication, stakeholder management, and technical leadership skills.

Job Type

Full time

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