Position Summary

We are looking for an AI Architect to lead the design and delivery of AI-first commercial data platforms for life sciences clients.

The solutions range from AI powered self-serve front end application development, agentic AI orchestration layers and scalable back-end data engineering/warehousing on cloud-based platforms (Databricks preferred; databricks, snowflake Snowflake), hosted on AWS/Azure stacks.

You will serve as the primary technical authority on client engagements — defining architecture, governing AI usage, and mentoring delivery teams from pre-sales through production cutover.

Job Responsibilities

Required Experience

10–15 years in Data Engineering, with 5+ years in pharma/biotech

Proven track record on presales, solution design and solution defence

Ability to present architecture decisions and risk trade-offs to senior client leadership

Hands-on experience on Claude Code

Hands -on experience on Generative AI pipelines, vector databases, feature stores

Hands-on experience on Databricks, Snowflake, Azure/AWS

Technical Skillset





Claude Code – prompt engineering, agentic pattern design, Git-controlled template versioning

AI/LLM : Experience integrating large language models (Claude, GPT, or equivalent) into data engineering workflows; agentic AI patterns (LangGraph, LangChain, or equivalent)

Snowflake / Databricks

Python, Pyspark, SQL

Tools: Soda, Collibra, Unity, DQ, Airflow, Streamlit, Jenkins

ServiceNow integration for ops support workflows (preferred)

Qualification

Bachelor’s/Master’s in Engineering, Computer Science, Data Science, or equivalent.

Certified Claude Architect

Certifications in cloud/data platforms preferred.

Education

BE/B.Tech

Master of Computer Application

Work Experience

Required Experience

10–15 years in Data Engineering, with 5+ years in pharma/biotech

Proven track record on presales, solution design and solution defence

Ability to present architecture decisions and risk trade-offs to seni

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