Sr. Specialist, AI CRM Engineering

At Bristol Myers Squibb, our employees often ask, “Who are you working for?”—a question that fuels collaboration, accountability, and urgency in our work. Our purpose-driven culture inspires us to discover, develop, and deliver innovative medicines to prevail over serious diseases. We offer uniquely interesting and meaningful work, opportunities for growth, and a supportive environment that values inclusion, wellbeing, flexibility, and comprehensive benefits.

This is work that transforms the lives of patients, and the careers of those who do it.

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, 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.

Requirements

• Required: Bachelor's degree  in Computer Science, Information Technology, Data Science, or a related field.
• 5+ years  of overall IT experience in software development, administration, or solution delivery.
• 2+ years of hands-on CRM experience  — including configuration, customization, UIX, workflows, security models, data loading, or integrations within platforms such as Veeva CRM, Salesforce, or equivalent.
• 1.5+ years of applied AI/ML exposure  — including participation in building, integrating, or testing AI/ML models, LLMs, or intelligent automation features in enterprise or academic environments.
• DataBricks Experience — including participation in building, integrating, or testing using Databricks Lakehouse architecture including Databricks ETL.
• 3+ years  of experience with SDLC methodologies (Agile and/or Waterfall), including participation in validated or regulated system delivery in a structured team environment.
• Demonstrated experience contributing to  AI/ML or analytics integrations within enterprise applications  (e.g., dashboards, predictive features, NLP tools).
• At least  1 active Technical Certification  (CRM, AWS, Industry Standard AI Certifications like Anthropic, DataBricks or equivalent).
• Strong analytical and problem-solving skills, with effective written and verbal communication abilities suited to a global, collaborative work environment.
• Strong experience with Vectorization, Python, Prompt engineering, Langchain, Lang Graph, OpenAI Azure, Anthropic Claude and GCP model
• Strong experience with AWS, AWS API Gateway, AWS CI CD
• Strong analytical, problem-solving, written, and verbal communication skills with experience presenting to executive and cross-functional audiences.
• Additionally Preferred: Exposure to  LLM frameworks  for enterprise AI application development.
• Familiarity with  Life Sciences CRM applications  such as Veeva/Vault CRM, Veeva Vault, Veeva Align, Veeva Engage, or Salesforce Life Sciences Cloud.
• Working knowledge of  Python and/or SQL  for AI/ML prototyping, data manipulation, and CRM analytics tasks.
• Experience with  JavaScript, Java, SDK-based development , or scripting languages for CRM customization and automation.
• Awareness of or participation in  Generative AI or agentic AI projects  in a regulated or life sciences environment, with understanding of validation and compliance considerations.
• Exposure to  commercial pharma analytics use cases  — e.g., HCP targeting, call planning, field force optimization, or market access analytics.
• Experience using  CI/CD tools  (e.g., GitHub Actions, Azure DevOps, Jenkins) in a development or deployment support capacity.
• Familiarity with  data integration patterns  — REST APIs, event-driven architectures, or ETL/ELT pipelines — for connecting CRM platforms with AI services or data sources.
• Experience with agile tools such as  Jira  — sprint participation, task tracking, and stakeholder updates.
• We hire for skills and capabilities, not just credentials – if this role excites you, but doesn’t perfectly match your resume, we encourage you to apply anyway.