Axtria - AI Architect - Pharma/Biotech Domain in Noida, भारत

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, 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 https://jobeax.com/link/OWjGkBg1fDwB1BOo 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 : - Bachelors/Masters in Engineering, Computer Science, Data Science, or equivalent.- Certified Claude Architect.- Certifications in cloud/data platforms https://jobeax.com/link/EuTygwIJ163HrfqM : - BE/B.Tech.- Master of Computer https://jobeax.com/link/eDP2UoJrjp3wXBPW Competencies : - Teamwork & Leadership.- Motivation to Learn and Grow.- Ownership.- Cultural Fit.- Talent https://jobeax.com/link/Y55hMkPCeFNnUynZ Competencies : - Problem Solving.- Lifescience Knowledge.- Communication.- Project Management.- Capability Building / Thought Leadership.- AIML.- Architecting.- Client Expectation Management.- Databricks.- Python. (ref:hirist.tech)