Axtria: -Axtria is a global provider of award-winning cloud software and data analytics to the life sciences industry. Axtria enables life sciences organizations to transform the product commercialization journey and deliver much-improved healthcare outcomes for patients worldwide. We are acutely aware that our work impacts millions of people and are incredibly passionate about the improvement we can bring to patients lives.

Our focus is on delivering solutions that help pharmaceutical, medical device, and diagnostics companies complete the journey from data to insights to action and get superior returns from their investments. As a participant of the United Nations Global Compact, Axtria is committed to aligning strategies and operations with universal principles on human rights, labor, environment, and anti-corruption and taking actions that advance societal goals.

Our people are our core strength, and they make us proud of our work; this has helped us grow exponentially and make tremendous strides toward developing great products. It is for the grit, thinking of an entrepreneur, and a family-like environment where each member is valued and treasured that we are growing rapidly.

For more information, visit www.axtria.com.

Job Title: - Manager/Senior Manager/Associate Director – Gen AI & Agentic AI Leads for Data and Analytics

Requisition ID:

Job Location: - Gurgaon/Noida

Job 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 strong 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: -

1. 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.

2. 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, Azure Data Lake, Snowflake, Databricks, etc.)
- Use knowledge graphs and metadata-driven approaches to enhance contextual reasoning and data discovery
- Deploy AI workloads using Azure OpenAI, AWS Sagemaker, Bedrock, or Snowflake Cortex AI Services.

3. AI Model Integration & Fine-tuning

- Lead the integration of LLMs (OpenAI GPT, Anthropic Claude, Mistral, Snowflake Cortex, etc.) into enterprise-grade applications.
- Fine-tune or prompt-tune foundation models using domain-specific data (commercial, patient, Omni -channel, clinical, or market access data).




- Design and implement RAG architectures leveraging vector databases (ChromaDB, Pinecone, FAISS, Weaviate etc.).
- Develop prompt engineering frameworks and guardrails to ensure factuality, interpretability, and compliance.
- Establish evaluation pipelines for model performance, accuracy, latency, and hallucination detection.

4. Leadership & Collaboration

- Lead a cross-functional GenAI development team of engineers, business analysts, data scientists, and UI developers.
- Stay ahead of the curve with emerging LLM architectures, multi-agent systems, and reasoning frameworks to provide technical guidance to the teams.
- Drive knowledge-sharing sessions and PoCs to evangelize Generative AI adoption across the organization.
- Contribute to Gen AI use case roadmaps, thought leadership relevant to GenAI in Life Sciences.

Qualification: -

- B-Tech or BE in Computer Science / Computer Applications from Tier 1-2 college

OR
- Master’s degree in Machine Learning / Statistics / Econometrics, or related discipline from Tier 1-2 college

Skills that give you an edge: -

- Solid client problem-solving skills across life sciences data and analytics is a plus.

We will provide– (Employee Value Proposition)

- Offer an inclusive environment that encourages diverse perspectives and ideas
- Deliver challenging and unique opportunities to contribute to the success of a transforming organization
- Opportunity to work on technical challenges that may impact across geographies
- Vast opportunities for self-development: online Axtria Institute, knowledge sharing opportunities globally, learning opportunities through external certifications
- Sponsored Tech Talks & Hackathons
- Possibility to relocate to any Axtria office for short and long-term projects
- Benefit package:

-Health benefits -Retirement benefits

-Paid time off

-Flexible Benefits

-Hybrid /FT Office/Remote

Axtria is an equal-opportunity employer that values diversity and inclusiveness in the workplace.

Who we are

Axtria 14 years journey

Axtria, Great Place to Work

Life at Axtria

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📌 Gen AI- Data engineer (Bengaluru)
🏢 Axtria
📍 Bengaluru