Principal Data Solutions

Bayer; Hyderabad; Sur place; INR 4 000 000 - 7 000 000; Plein temps

Résumé du poste

Bayer is seeking a Principal Data Solutions professional in Hyderabad, India to design, develop and maintain web interfaces for pharma research and clinical domains, and to build scalable data solutions for research, drug discovery and clinical development.

You will design data pipelines across relational, NoSQL and vector databases, collaborate with scientists to operationalize analytical models, and advance GenAI and RAG solutions using LLMs and tool-calling in a cloud-native environment.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field.
• Strong Python development skills with hands-on experience in FastAPI, Flask, Streamlit and REST APIs.
• Experience with SQL and PostgreSQL; exposure to NoSQL and vector databases.
• Hands-on experience with GenAI, LLM integration, prompt engineering, and tool calling.
• Familiarity with LangGraph, LangChain, Semantic Kernel and agentic AI frameworks.
• Cloud-native development on AWS/Azure, serverless and containers.
• Experience with Obser vability, guardrails, and responsible AI practices.
• Experience in Agile environments; Pharmaceutical domain a plus.
• Demonstrates VACC leadership behaviors and customer-centric solution co-creation.

Responsabilités

• Design, develop and maintain UI for web apps in Pharma research and clinical domains.
• Design, develop and maintain scalable data solutions for research, drug discovery and clinical development.
• Build data pipelines across relational, NoSQL, scientific and unstructured sources.
• Collaborate with scientists to operationalize analytical models, ML solutions and workflows.
• Develop GenAI and RAG solutions using LLMs, embeddings and tool calling.
• Drive agentification of R&D workflows using AI agents, MCP and multi-step orchestration.
• Build cloud-native AI and data solutions using AWS or Azure.
• Ensure secure interaction between AI agents and data, APIs and tools.
• Apply human-in-the-loop, guardrails, evaluation and monitoring for reliability.

Connaissances

Python development

FastAPI

Flask

Streamlit

REST APIs

PostgreSQL

NoSQL databases

Vector databases

GenAI / LLM integration

Prompt engineering

Function/tool calling

LangGraph

LangChain

Semantic Kernel

Agentic AI solutions

AWS / Azure cloud-native

Serverless / containers

Bedrock / OpenAI capabilities

Observability / guardrails

Agile methodologies

Pharmaceutical domain

VACC leadership

Formation

Bachelor's or Master's in CS/SE or related field

Outils

AWS

Azure

Amazon Bedrock

LangGraph

LangChain

Semantic Kernel

Description du poste

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.

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 https://www.bayer.com/enfstrategyfstrategy

Principal Data Solutions

• 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.

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.

Location: India : Telangana : Hyderabad

Division: Pharmaceuticals

Reference Code: 895163

Contact Us

+ 022-25311234