Principal Data Solutions

Bayer; Hyderabad; Hybrid; INR 3,500,000 - 6,500,000; Full time

Job summary

Bayer AG in Hyderabad is seeking a Principal Data Solutions professional to design and implement cloud-native AI and data infrastructure for pharma research. The role emphasizes GenAI, RAG, and agentic AI workflows, collaborating with scientists and data scientists to operationalize analytical models.

The candidate should have strong Python expertise, extensive cloud experience (AWS/Azure), and a track record building scalable data systems for research and clinical development, with a focus on

Qualifications

• 12+ years of industry experience in software development with a cloud focus.
• Proficient Python development with FastAPI/Flask/Streamlit and REST APIs.
• Experience with SQL/NoSQL databases, data pipelines and analytics workloads.

Responsibilities

• Design, develop, and maintain web UIs for pharma research apps.
• Build scalable data solutions for research and clinical development.
• Create data pipelines across relational, NoSQL, and vector sources.
• Collaborate with scientists to operationalize ML and GenAI workflows.
• Develop GenAI and RAG solutions with LLMs and embeddings.
• Lead agentic AI workflows using frameworks like LangGraph/LangChain.
• Ensure secure interaction between AI agents and data/tools.
• Document architecture and data flows throughout development.

Skills

Python

FastAPI

Flask

Streamlit

REST APIs

SQL

PostgreSQL

PLSQL

NoSQL

Vector DBs

GenAI integration

LangChain

LangGraph

Azure & AWS

Serverless

Containerization

Agentic AI

Education

Bachelor in CS/SE

Master in CS/SE

Tools

Cloud platforms

PostgreSQL

Job description

Select how often (in days) to receive an alert:

At Bayer we’re visionaries, driven to solve the world’s toughest challenges and striving for a world where ,Health for all, Hunger for none’ is no longer a dream, but a real possibility. We’re doing it with energy, curiosity and sheer dedication, always learning from unique perspectives of those around us, expanding our thinking, growing our capabilities and redefining ‘impossible’. There are so many reasons to join us. If you’re hungry to build a varied and meaningful career in a community of brilliant and diverse minds to make a real difference, there’s only one choice.

Principal Data Solutions

YOUR TASKS AND RESPONSIBILITIES:

• Design, develop and maintain user interfaces for our web applications in Pharma research and clinical domains.
• Design, develop and maintain scalable data solutions supporting research, drug discovery and clinical development.
• Design and integrate data pipelines and services across relational, NoSQL, scientific and unstructured data sources.
• Collaborate with scientists and data scientists to operationalize analytical models, ML solutions and scientific workflows.
• Develop GenAI and RAG solutions using LLMs, embeddings, vector search and enterprise knowledge sources.
• Drive agentification of R&D and data science workflows using AI agents, tool calling, MCP and multi-step orchestration.
• Build cloud-native AI and data solutions using AWS or using Azure services.
• Implement secure interaction between AI agents and scientific data, APIs, analytical tools and enterprise applications.
• Apply human-in-the-loop, guardrails, evaluation and monitoring to ensure AI solutions are reliable, traceable and appropriate for R&D use.
• Optimize applications, data pipelines and AI workloads for scalability, performance and cost.
• Maintain architecture, data flow, API and solution documentation throughout the development lifecycle.

WHO YOU ARE:

• Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field with minimum of 12 years of industry experience in software development, with a focus on Cloud technologies.
• Strong Python development skills with hands‑on experience in FastAPI, Flask, Streamlit and REST APIs.
• Strong SQL and database experience with PostgreSQL, PLSQL, along with exposure to NoSQL and vector databases.
• Experience building data pipelines and data-intensive applications supporting analytical or data science workloads.
• Hands‑on experience with GenAI, LLM integration, prompt engineering, structured outputs and function/tool calling.
• Experience with RAG, embeddings, semantic search, vector databases and grounding LLMs with enterprise or scientific data.
• Experience developing agentic AI solutions using frameworks such as LangGraph, LangChain, Semantic Kernel or equivalent.
• Understanding of agentification, including agent orchestration, MCP, state/context management, tool selection and human‑in‑the‑loop workflows.
• Hands‑on cloud‑native development experience on AWS and/or Azure, including serverless, containers, managed databases, storage, API and AI services.
• Experience with Amazon Bedrock or Azure AI/OpenAI capabilities for developing enterprise GenAI and agentic solutions is good to have.
• Understanding of AI evaluation, observability, groundedness, traceability, guardrails and responsible AI practices.
• Familiarity with Agile methodologies and IT life cycle processes.
• Experience in the Pharmaceutical domain is a plus.
• Demonstrates VACC (Visionary, Catalyst, Architect, Coach) leadership behaviors:
  • Good self‑awareness as well as system awareness.
  • Pro‑actively asks for and gives feedback.
  • Strives to demonstrate strategic thinking as well as good business and external trends insights.
  • Focuses on outcomes defines and deliver highest pipeline, team, talent, and organizational impact outcomes.
  • Collaborates and holds each other accountable in and across teams.
  • Is close to the customer and co‑creates solutions for their needs.
  • Works in 90‑days cycles, applies learnings fast and continually develops.
  • Is the best self and includes others: respects differences, embraces inclusion and shows up as the best self.

Ever feel burnt out by bureaucracy? Us too. That's why we're changing the way we work- for higher productivity, faster innovation, and better results. We call it Dynamic Shared Ownership (DSO). Learn more about what DSO will mean for you in your new role here

Bayer does not charge any fees whatsoever for recruitment process. Please do not entertain such demand for payment by any individuals / entities in connection with recruitment with any Bayer Group entity(ies) worldwide under any pretext.

Please don’t rely upon any unsolicited email from email addresses not ending with domain name “bayer.com” or job advertisements referring you to an email address that does not end with “bayer.com”. For checking the authenticity of such emails or advertisement you may approach us at [e-mail].

YOUR APPLICATION

Bayer is an equal opportunity employer that strongly values fairness and respect at work. We welcome applications from all individuals, regardless of race, religion, gender, age, physical characteristics, disability, sexual orientation etc. We are committed to treating all applicants fairly and avoiding discrimination.