Gen AI- Data engineer

Axtria:

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 Summary:

Highly skilled GenAI Application Leads with 8 to 15 years of total experience

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

Job Responsibilities: -

1.

• 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.

• 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.

• 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.

• 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: -

• Strong 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

Axtria Diversity