Job Description
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 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.
Behavioural Competencies
Teamwork & Leadership
Motivation to Learn and Grow
Ownership
Cultural Fit
Talent Management
Technical Competencies
Problem Solving
Lifescience Knowledge
Communication
Project Management
Capability Building / Thought Leadership
AIML
Architecting
Client Expectation Management
Databricks
Python
