From optimizing a production line to the latest breakthroughs in cell therapy, this is work that transforms the lives of patients, and the careers of those who do it. Position Summary We are seeking an AI Engineer to support the AI Enablement Team in developing and deploying enterprise-grade generative AI solutions. This role leverages large language model (LLM) platforms, cloud-based AI services, and up-to-date API integration frameworks to expand the organization's AI capabilities and drive adoption across business functions.

The ideal candidate will have expertise in generative AI application development, prompt engineering, and AI tool integration within regulated enterprise environments. The position is responsible for delivering secure, scalable, and compliant GenAI-powered solutions that enhance employee productivity, streamline information access, and support intelligent automation — in close partnership with senior engineers, data scientists, and cross-functional business stakeholders.

Design, build, and deploy autonomous multi-agent workflows using orchestration frameworks such as LangGraph, CrewAI, Autogen, or similar, including complex state machines with conditional routing, parallel execution, and error recovery patterns.

Develop and maintain reusable agent node libraries, extensible platform patterns, versioning strategies, and testing frameworks (unit, integration, and end-to-end) for agent workflows.

Build production-grade FastAPI applications with async I/O patterns, integrating PostgreSQL, Redis, and external enterprise services.

Implement real-time agent streaming using Server-Sent Events (SSE) and WebSocket protocols, alongside RESTful and event-driven API architectures for agent orchestration.

Integrate cloud-based LLM providers (AWS Bedrock, Azure OpenAI, Anthropic Claude, OpenAI GPT-4) and design prompt management systems with versioning, templating, and dynamic compilation.

Implement conversation state persistence using Redis checkpointing and build tool-calling protocols (Model Context Protocol, function calling) for external data sources and APIs.

Develop hybrid intelligence patterns combining LLM reasoning with rule-based logic and statistical analysis, and build response transformation pipelines for structured analytical outputs.





Integrate observability platforms (Langfuse, LangSmith, or similar) to enable end-to-end agent tracing, telemetry, performance monitoring, and cost optimization across production workflows.

Implement evaluation frameworks measuring agent success rates, reasoning quality, and output accuracy, while continuously optimizing token usage and LLM costs.

Ensure enterprise security integration (LDAP, SSO, access control), robust error handling, and compliance with data governance and Responsible AI standards.

Partner with data engineers, business analysts, and UX teams to translate requirements into scalable agent workflows and streaming interfaces.

Mentor junior engineers on async Python patterns, agent design, and LLMOps best practices; Qualifications & Experience

- Bachelor's or Master's degree in Computer Science, AI/ML, Engineering, Data Science, or a related discipline.
- 9+ years of software engineering experience, with 2+ years building and deploying production LLM-powered applications.

~ Proven experience with:

- Cloud LLM providers: AWS Bedrock, Azure OpenAI, Anthropic Claude, or OpenAI GPT-4.
- Production async web frameworks, particularly FastAPI.
- Docker containerization, Git version control, and CI/CD pipelines.
- Cloud platforms: AWS, Azure, or Google Cloud.
- Expert-level async Python programming (asyncio, async/await patterns).
- Demonstrated experience building autonomous agent systems performing multi-step tasks beyond simple chatbots, including conditional logic, state management, and tool-calling patterns.
- Strong understanding of agentic design patterns including ReAct, Plan-and-Execute, and tool-use agents.
- Experience implementing Model Context Protocol (MCP) and agent-to-agent (A2A) communication frameworks.
- Familiarity with LLMOps practices, observability tooling (Langfuse, LangSmith), and prompt engineering at scale (templating, versioning, optimization).




- Prior experience in global life sciences, especially in the GPS functional area, is a plus.
- Experience managing or collaborating with offshore technical development teams and diverse international stakeholders is a plus.

Each of us is empowered to apply our individual talents and unique perspectives in a supportive culture, promoting global participation in clinical trials, while our shared values of passion, innovation, urgency, accountability, inclusion and integrity bring out the highest potential of each of our colleagues.

This structure includes site-essential, site-by-design, field-based and remote-by-design jobs. Site-essential roles require 100% of shifts onsite at your assigned facility. Site-by-design roles may be eligible for a hybrid work model with at least 50% onsite at your assigned facility. For these roles, onsite presence is considered an essential job function and is critical to collaboration, innovation, productivity, and a positive Company culture. For field-based and remote-by-design roles the ability to physically travel to visit customers, patients or business partners and to attend meetings on behalf of BMS as directed is an essential job function.

Supporting People with Disabilities BMS is dedicated to ensuring that people with disabilities can excel through a transparent recruitment process, reasonable workplace accommodations/adjustments and ongoing support in their roles. Applicants can request a reasonable workplace accommodation/adjustment prior to accepting a job offer. If you require reasonable accommodations/adjustments in completing this application, or in any part of the recruitment process, direct your inquiries to [View email address on joinrs.com Protection We will never request payments, financial information, or social security numbers during our application or recruitment process. Any data processed in connection with role applications will be treated in accordance with applicable data privacy policies and regulations.

If you believe that the job posting is missing information required by local law or incorrect in any way, please contact BMS at [View email address on joinrs.com related to the status of your application should be directed to Chat with Ripley.

Principal AI Engineer

📌 Principal AI Engineer - Hybrid (Hyderabad)
🏢 Bristol-Myers Squibb
📍 Hyderabad