Sr. Specialist, AI CRM Engineering

Bristol Myers Squibb • Princeton, NJ

11d • $81,260 - $98,468

About The Position

The Sr. Specialist, AI CRM Engineering develops and integrates AI-enabled capabilities within the Veeva CRM/Vault CRM ecosystem, including LLM-based solutions using models such as Claude directly or through AWS Bedrock. The role supports AI/ML workflows and CRM data integrations, prototypes generative AI features, builds AI-powered MyInsights/X-Pages outputs and dashboards, and participates in agentic AI pilots that automate CRM workflows. It also consumes and surfaces machine-learning outputs in CRM interfaces and reporting tools, while following team-defined AI governance, BMS AI policies, privacy standards, and validated-systems requirements.

The position performs hands-on CRM integrations and contributes throughout the software development lifecycle, from design and development through testing, deployment, and issue resolution. It supports reusable components, CI/CD and configuration management practices, code reviews, release planning, quality standards, documentation, and compliance. The specialist collaborates with global and cross-functional teams, participates in agile ceremonies and stakeholder demonstrations, communicates progress and risks to the engineering manager, and seeks coaching to deepen expertise in CRM engineering and applied AI.

The role is based in Princeton, New Jersey. The posting describes BMS work models generally but does not specify which work model applies to this position.

Requirements

• Bachelor's degree in Computer Science, Information Technology, Data Science, or a related field.
• At least 5 years of overall IT experience in software development, administration, or solution delivery.
• At least 2 years of hands-on CRM experience, including configuration, customization, UIX, workflows, security models, data loading, or integrations in Veeva CRM, Salesforce, or an equivalent platform.
• At least 1.5 years of applied AI/ML exposure, including participation in building, integrating, or testing AI/ML models, LLMs, or intelligent automation in an enterprise or academic environment.
• Experience participating in building, integrating, or testing with Databricks Lakehouse architecture, including Databricks ETL.
• At least 3 years of experience with Agile and/or Waterfall SDLC methodologies, 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, such as dashboards, predictive features, or NLP tools.
• At least one active technical certification in CRM, AWS, an industry-standard AI certification such as Anthropic, Databricks, or an equivalent area.
• Strong experience with vectorization, Python, prompt engineering, LangChain, LangGraph, OpenAI Azure, Anthropic Claude, and GCP models.
• Strong experience with AWS, AWS API Gateway, and AWS CI/CD.
• Strong analytical and problem-solving skills and effective written and verbal communication skills for a global, collaborative work environment, including experience presenting to executive and cross-functional audiences.

Nice To Haves

• 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.
• 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, including understanding of validation and compliance considerations.
• Exposure to commercial pharmaceutical analytics use cases such as HCP targeting, call planning, field force optimization, or market access analytics.
• Experience using CI/CD tools such as GitHub Actions, Azure DevOps, or Jenkins in development or deployment support.
• Familiarity with data integration patterns such as 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 for sprint participation, task tracking, and stakeholder updates.

Responsibilities

• Develop and integrate AI-enabled features in the Veeva CRM/Vault CRM ecosystem, including LLM-based solutions using industry-standard models such as Claude directly or through AWS Bedrock.
• Support implementation of AI/ML workflows and data integrations connected to CRM data pipelines, including next-best-action model outputs, call planning tools, and sentiment analysis features.
• Prototype and evaluate generative AI capabilities such as call summaries, intelligent alerts, and AI-driven field notifications within Veeva CRM and MyInsights/X-Pages.
• Build and maintain AI-powered MyInsights/X-Pages outputs and dynamic dashboards with predictive KPIs and intelligent visual elements.
• Participate in agentic AI experiments and pilots to develop agents that automate CRM workflows, data enrichment, and intelligent routing through CRM APIs and third-party integrations.
• Consume and surface machine-learning model outputs in CRM user interfaces and downstream reporting tools in coordination with Data Science and Analytics teams.
• Apply team-defined AI governance and responsible AI practices, BMS AI usage policies, data privacy standards, and validated-systems requirements.
• Research and evaluate emerging AI/ML tools and frameworks and contribute findings and recommendations to the CRM engineering team.
• Perform hands-on CRM integrations involving Veeva CRM/Vault CRM data loading, MyInsights/X-Pages, and other integrations.
• Participate in the full SDLC, including design, development, testing, deployment, and issue resolution for CRM and AI-integrated requirements.
• Contribute reusable code components, libraries, and design patterns that support productivity, global harmonization, and scalability.
• Apply SDLC best practices, CI/CD pipelines, and configuration management under the guidance of the manager and senior technical leads.
• Participate in code reviews, release planning, and deployment readiness checks, incorporating an AI-first perspective.
• Identify and document configuration dependencies, risks, and change impacts for CRM and AI-integrated workflows, and proactively flag issues to the manager.
• Support quality standards, testing documentation, and deployment checklists to help ensure robust, validated, and compliant solutions.
• Collaborate with US, nearshore, and global developers, administrators, architecture leads, IT business partners, and other team members.
• Support onboarding and knowledge sharing by maintaining solution documentation, knowledge base articles, SOPs, and configuration guides.
• Communicate technical progress, risks, and issues to the engineering manager clearly and promptly.
• Participate in sprint planning, backlog grooming, daily stand-ups, and retrospectives.
• Work with business partners, testing teams, vendors, and other stakeholders to support integration, functional validation, and end-to-end readiness.
• Support business stakeholder demonstrations and solution walkthroughs, explaining the capabilities and value of CRM AI features.
• Seek feedback and coaching from the manager and senior peers to develop technical depth in CRM engineering and applied AI.

Benefits

• Comprehensive benefit plans, including wellbeing support, retirement and financial protection benefits, and medical, dental, vision, life, and disability insurance offerings, subject to plan terms and eligibility.
• U.S.-based exempt employees are eligible for Flexible Time Off without a set accrual limit, subject to manager approval, and 11 paid company holidays each year.
• Non-exempt employees, RayzeBio employees, and employees located in Puerto Rico receive 160 hours of paid vacation annually for new hires, subject to manager approval, 11 paid company holidays, and 3 optional holidays.
• Depending on eligibility, additional time-off benefits may include paid sick leave, up to two paid volunteer days per year, summer-hours flexibility, and leaves of absence for medical, personal, parental, caregiver, bereavement, or military needs.
• Eligible employees receive an annual Global Shutdown between Christmas Day and New Year's Day.
• May be eligible for additional discretionary cash incentives and stock opportunities.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level