Field AI CRM Engineer – Enablement & Insights

Bristol Myers Squibb; Princeton (NJ); On-site; USD 78,000 - 95,000; Full time

Job summary

Bristol Myers Squibb in Princeton, NJ is seeking an AI CRM Engineer to build and deploy AI-powered features for Field Facing applications, including LLM assistants, call-note summarization and next-best-action tools, with a product-minded approach and focus on trusted commercial data.

The role blends data pipelines on AWS, model integration with Bedrock and OpenAI, evaluation and governance, and collaboration with global teams to deliver secure, scalable solutions that improve field workflows

Responsibilities

• Design, build and ship AI/LLM-powered features for Vault CRM field users – such as pre-call insights, call note summarization, conversational assistants and next-best-action recommendations – using prompt engineering, retrieval-augmented generation (RAG), tool/function calling and agentic workflows.
• Build and maintain the data foundation for AI cloud-based (AWS) batch and event-driven pipelines (Glue, Lambda, API Gateway, EventBridge) and integrations with Vault CRM (e.g., Vault REST APIs, Direct Data API) and related commercial systems that supply clean, timely and governed context to AI applications.
• Implement retrieval components – document ingestion, chunking, embeddings, vector/hybrid search and metadata filtering – and tune them for relevance and accuracy.
• Integrate foundation models through enterprise platforms (e.g., Amazon Bedrock, Anthropic, Azure OpenAI) and expose AI capabilities through secure APIs, Model Context Protocol (MCP) servers and/or native Vault CRM extensions.
• Make evaluation part of the build create test datasets, define quality metrics (accuracy, groundedness, hallucination rate) and run automated and human-in-the-loop evaluations before and after each release.
• Monitor AI applications in production – tracing, latency, token cost and user feedback – and continuously improve prompts, retrieval and model choices based on what the data shows.
• Apply responsible AI guardrails appropriate for a regulated life sciences environment, including PII handling, content safety, access controls and commercial compliance considerations, in partnership with security, privacy and AI governance teams.
• Bring a product mindset partner with field users, business stakeholders and product managers to understand workflows, shape use cases, build quick prototypes to validate value, and define success measures such as adoption, time saved and user satisfaction.
• Stay current with fast-evolving AI tools and practices, use AI-assisted development tools effectively, and share learnings with the broader Field Integrations team to raise AI fluency across the group.
• Participate in effort estimation, code reviews, CI/CD and production support, and maintain standard technical documentation such as design documents, deployment checklists and testing/validation records.
• Collaborate actively with US, nearshore, and global team members — including developers, administrators, architecture leads, and IT business partners — to ensure timely and high-quality delivery.
• Support onboarding activities and knowledge sharing within the team by maintaining solution documentation, knowledge base articles, SOPs, and configuration guides.
• Assist in communicating technical progress, risks, and issues to the engineering manager with clear, concise, and timely updates.
• Participate in agile ceremonies — sprint planning, backlog grooming, daily stand-ups, and retrospectives — contributing to team velocity and continuous improvement.
• Work with cross-functional stakeholders (e.g., business partners, testing teams, vendors) to help ensure solutions are fully integrated, functionally validated, and end-to-end ready.
• Support business stakeholder demos and solution walkthroughs, helping to clearly articulate the technical capabilities and value of CRM AI features.
• Actively seek feedback and coaching from the manager and senior peers to grow technical depth in both CRM engineering and applied AI development.

Job description

Bristol Myers Squibb in Princeton, NJ is seeking an AI CRM Engineer to build and deploy AI-powered features for Field Facing applications, including LLM assistants, call-note summarization and next-best-action tools, with a product-minded approach and focus on trusted commercial data.

The role blends data pipelines on AWS, model integration with Bedrock and OpenAI, evaluation and governance, and collaboration with global teams to deliver secure, scalable solutions that improve field workflows