Principal Data Solutions

Job Summary

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 a 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.

Location

Hyderabad, Telangana, India

Division

Pharmaceuticals

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.