AI Architect - BIM

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 1015 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 Bachelors/Masters 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 1015 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 Bachelors/Masters 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 Skills