$81,260 – $98,468
Listed on Bristol Myers Squibb’s own careers site. You apply with them directly — we never stand between you and the employer.
What this role is
This role develops and integrates AI-powered features into Veeva CRM systems for a life sciences company, working with large language models and machine learning workflows to enhance field representative tools and dashboards. It suits mid-to-senior engineers with hands-on CRM platform experience who want to apply AI capabilities to enterprise healthcare applications.
Our summary, not Bristol Myers Squibb’s wording. The full posting is on their site.
Skills this role names
- Amazon Web Services (AWS)
- Azure DevOps
- Databricks
- GitHub Actions
- Java
- JavaScript
- Jenkins
- Jira
- LangChain
- LangGraph
- OpenAI
- Prompt Engineering
- Python
- REST APIs
- Salesforce
- SQL
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What they ask for
Required
- Bachelor's degree in Computer Science, Information Technology, Data Science, or related field
- 5+ years of IT experience in software development, administration, or solution delivery
- 2+ years of hands-on CRM platform experience (Veeva CRM, Salesforce, or equivalent)
- 1.5+ years of applied AI/ML experience with models, LLMs, or intelligent automation
- Databricks Lakehouse experience including ETL
- 3+ years of SDLC methodologies (Agile and/or Waterfall) in regulated or structured environments
- Demonstrated experience with AI/ML or analytics integrations in enterprise applications
- 1 active technical certification (CRM, AWS, AI, or DataBricks)
- Experience with vectorization, Python, prompt engineering, LangChain, LangGraph, OpenAI Azure, Anthropic Claude, and GCP models
- Experience with AWS, AWS API Gateway, and AWS CI/CD
- Analytical and problem-solving skills with strong written and verbal communication
Nice to have
- LLM frameworks for enterprise AI application development
- Life Sciences CRM platforms (Veeva Vault, Veeva Align, Veeva Engage, Salesforce Life Sciences Cloud)
- Python or SQL for AI/ML prototyping and data manipulation
- JavaScript, Java, SDK-based development, or scripting for CRM customization
- Generative AI or agentic AI projects in regulated or life sciences environments
- Commercial pharma analytics use cases (HCP targeting, call planning, field force optimization)
- CI/CD tools (GitHub Actions, Azure DevOps, Jenkins)
- Data integration patterns (REST APIs, event-driven architectures, ETL/ELT)
- Agile tools experience such as Jira