Position Summary

Highly skilled GenAI Application Leads with 8 to 15 years of total experience who can lead the design, development, testing, and deployment of Generative AI–based applications focused on Data and Analytics in Life Sciences domain. The ideal candidate will have a robust background in Python, RAG, knowledge graphs, Gen AI/LLM frameworks (LangChain, LangGraph), AWS/Azure cloud services with hands-on experience integrating and fine-tuning GPT, Anthropic Claude, Mistral, or Snowflake Cortex for real-world business use cases. Strong client problem-solving skills across life sciences data and analytics is a plus.

This role bridges AI engineering, data analytics, and full-stack development, creating intelligent applications that augment data-driven decision-making.

Job Responsibilities

Solution Architecture & Design
Lead the end-to-end architecture and design of Generative AI applications
Define solution blueprints combining LLMs, Retrieval-Augmented Generation (RAG), Knowledge Graphs for structured and unstructured data sources.




Translate business requirements into modular AI workflows, ensuring scalability, security, and performance.
Evaluate and recommend GenAI frameworks/tools (LangChain, LangGraph, Semantic Kernel, etc.)
Collaborate with data engineers and pharma domain experts to design semantic data models and context-aware knowledge base.
Gen AI Application Development & Engineering
Lead full-stack design and development using Python (FastAPI, Flask) and React/Next.js for GenAI-powered frontends.
Build microservices or API layers that expose AI functionalities securely across teams and systems.
Ensure robust CI/CD pipelines, version control (GitHub, Bitbucket, GitLab), and containerization (Docker, Kubernetes).
Design and develop user-centric applications that embed GenAI outputs seamlessly into custom UI or enterprise BI tools like Power BI
Work with data engineering and analytics teams to connect GenAI apps to existing data ecosystems (AWS S3,

📌 Senior Manager (Bengaluru)
🏢 Axtria - Ingenious Insights
📍 Bengaluru