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Sr. Specialist, AI CRM Engineering

  • Source: Workday
  • Bristol Myers Squibb
  • $81,260 to $98,468 /yr
  • Hybrid
  • Princeton
  • Full-Time
  • Senior

Job Description

Working with Us
Challenging. Meaningful. Life-changing. Those aren’t words that are usually associated with a job. But working at Bristol Myers Squibb is anything but usual. Here, uniquely interesting work happens every day, in every department. 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. You’ll get the chance to grow and thrive through opportunities uncommon in scale and scope, alongside high-achieving teams. Take your career farther than you thought possible.

Bristol Myers Squibb recognizes the importance of balance and flexibility in our work environment. We offer a wide variety of competitive benefits, services and programs that provide our employees with the resources to pursue their goals, both at work and in their personal lives. Read more: careers.bms.com/working-with-us .

Position Responsibilities

  • Develop and integrate AI-enabled features within the Veeva CRM/Vault CRM ecosystem — including LLM-based solutions using industry standard models like Claude accessed directly or via AWS Bedrock under the direction of the engineering manager.
  • Support the implementation of AI/ML workflows and data intergations connected to CRM data pipelines, including next-best-action (NBA) model outputs, call planning tools, and sentiment analysis features for field rep workflows.
  • Assist in prototyping and evaluating Generative AI capabilities (e.g., auto-generated call summaries, intelligent alerts, AI-driven field notifications) within Veeva CRM and MyInsights/X-Pages environments.
  • Build and maintain AI-powered outputs for MyInsights/X-Pages and dynamic dashboards featuring embedded predictive KPIs and intelligent visual elements for field representatives and their managers.
  • Participate in agentic AI experiments and pilots , contributing to the development of AI agents that automate CRM workflows, data enrichment, and intelligent routing via CRM APIs and third-party integrations.
  • Consume and surface ML model outputs within CRM UI layers and downstream reporting tools, working in coordination with the Data Science and Analytics teams.
  • Follow and apply AI governance and responsible AI practices defined by the team — adhering to BMS AI usage policies, data privacy standards, and validated systems requirements.
  • Research and evaluate emerging AI/ML tools and frameworks , contributing findings and recommendations to the broader CRM engineering team.
  • Perform hands-on CRM integrations within Veeva CRM / Vault CRM data loading, MyInsights/X-Pages and other integrations.
  • Participate across the full SDLC lifecycle — design, build, testing, deployment, and issue resolution — for CRM and AI-integrated business requirements.
  • Contribute to the development of reusable code components, libraries, and design patterns that support team productivity, global harmonization, and long-term scalability.
  • Apply SDLC best practices, CICD pipelines, and configuration management principles under the guidance of the manager and senior technical leads.
  • Participate in code reviews, release planning activities, and deployment readiness checks , incorporating an AI-first perspective.
  • Identify and document configuration dependencies, risks, and change impacts related to CRM and AI-integrated workflows, flagging issues proactively to the manager.
  • Support enforcement of quality standards, testing documentation, and deployment checklists to ensure solutions are robust, validated, and compliant with life sciences regulations.
  • 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, functionall…

Skills

  • veeva
  • veeva-crm
  • vault
  • amazon-web-services
  • bedrock
  • Salesforce
  • azure-databricks
  • databricks
  • Python
  • LangChain
  • microsoft-graph
  • microsoft-azure
  • claude-by-anthropic
  • google-cloud-platform
  • amazon-api-gateway
  • veeva-vault
  • javascript
  • Java
  • Github
  • github-actions
  • azure-devops
  • Jenkins
  • JIRA
  • workday

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