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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 fromAI powered self-serve front end application development, agentic AI orchestration layers and scalable back-enddata engineering/warehousing on cloud-based platforms (Databricks preferreddatabricks, snowflakeSnowflake), 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

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

Technical Competencies

Skills