Field AI Engineer

This role involves building AI-powered tools for Veeva Vault CRM, focusing on features like call summarization and next-best-action recommendations. The work includes designing data pipelines, integrating foundation models, and ensuring AI applications meet regulatory standards. The candidate will collaborate with field users and stakeholders to shape AI solutions that improve commercial workflows.

Summarised by InternDoor from Bristol Myers Squibb’s posting, in our own words. The posting itself is the source of truth, so check it before you apply.

• Build AI/LLM features for Veeva Vault CRM using Python, AWS, and RAG techniques
• Design data pipelines and integrations for trusted commercial data in AWS
• Ship production-ready AI tools with evaluation and monitoring in place

Required

• Bachelor’s degree Computer Science, Information Technology, or related field
• 2–4 years IT experience in software development or data engineering, including at least 1 year of hands-on experience building LLM/GenAI applications (production experience preferred; strong project or POC work will be considered)
• Strong programming skills Python, with sound engineering practices – clean code, testing, version control (Git) and CI/CD
• Good SQL skills and understanding of relational databases (preferably PostgreSQL); experience building and consuming RESTful APIs
• Hands-on experience with AWS services such as Lambda, API Gateway, Glue, S3 and EventBridge
• Practical experience with LLM APIs and at least one orchestration/agent framework (e.g., LangChain/LangGraph, LlamaIndex, Strands Agents, Bedrock Agents), including prompt engineering, structured outputs and tool/function calling
• Understanding of RAG architecture, embeddings and vector stores (e.g., OpenSearch, pgvector)
• Familiarity with LLM evaluation and observability approaches and awareness of common failure modes such as hallucination, prompt injection and data leakage
• Product mindset – ability to turn an ambiguous business problem into a well-scoped AI solution, explain trade-offs (quality, latency, cost) clearly to non-technical stakeholders, and iterate based on user feedback
• Ability and willingness to learn new technologies quickly; proactive and self-motivated, with a strong sense of ownership and accountability

Nice to have

• Experience with Veeva Vault CRM or Veeva CRM (Salesforce-based), Vault APIs, or other CRM platforms
• Exposure to MCP multi-agent patterns, or speech-to-text/voice AI use cases
• Ability to build lightweight front-ends for AI prototypes (e.g., React)
• Experience with Docker and infrastructure-as-code (Terraform, CloudFormation or AWS CDK)
• AWS or GenAI certifications

Read from Bristol Myers Squibb’s posting. Its own wording is the one that counts.

1. Check what they ask for. Read the requirements above: Bristol Myers Squibb asks for 2–4 years.
2. Tailor your resume to the role. Put the work that matches these skills first. InternDoor’s resume tailor does it against this posting.
3. Apply on Bristol Myers Squibb’s careers site. The application is on tnl2.jometer.com, not on InternDoor. We never ask for a fee.

Apply soon: postings like this can close without notice, and this one states no deadline.

Posted

11 Nov 2026, on LinkedIn

First seen by InternDoor

11 Nov 2026, within 9 minutes of being posted

Last checked

11 Nov 2026: the posting was still in LinkedIn’s search results. We have not checked its application page.

Application deadline

Bristol Myers Squibb has not stated one

Leaves InternDoor

By 11 Dec 2026, our 30-day limit for LinkedIn listings, or sooner if the application closes

Application page

tnl2.jometer.com

What we checked, and what the dates mean

The date this listing leaves InternDoor is our own rule, not a deadline set by Bristol Myers Squibb. Postings can close earlier, at any time.

InternDoor has recorded 19 engineering postings from Bristol Myers Squibb in India since Sept 2026.

When this listing comes down, this address says the role has closed and lists open roles like it, instead of a dead end.

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