Sr. Specialist, AI CRM Engineering Bristol-Myers Squibb

• 4.1 Princeton, NJ Job Details Full-time $81,260
• $98,468 a year 1 day ago Benefits Paid holidays Disability insurance Health insurance Dental insurance 401(k) Paid time off Employee assistance program Vision insurance Life insurance Paid sick time Qualifications AI models Systems integration Software engineering Databricks Azure Enterprise software Generative models Enterprise solutions implementation Application deployment AI platforms (beyond public GPTs) Software administration Computational framework Enterprise software systems development Prompt engineering Machine learning cloud services AWS Bachelor's degree Model deployment Integration Platforms (Enterprise solutions) Integration with Third-Party Services (system development) CRM system proficiency Cloud solution engineering DevOps automation Machine learning frameworks Project stakeholder communication Generative AI Cross-functional communication Full 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.

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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, 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. If you come across a role that intrigues you but doesn't perfectly line up with your resume, we encourage you to apply anyway. You could be one step away from work that will transform your life and career.

Compensation Overview:

Princeton

• NJ•

US:

$81,260

• $98,468 The starting compensation range(s) for this role are listed above for a full-time employee (FTE) basis.

Additional incentive cash and stock opportunities (based on eligibility) may be available. The starting pay rate takes into account characteristics of the job, such as required skills, where the job is performed, the employee's work schedule, job-related knowledge, and experience. Final, individual compensation will be decided based on demonstrated experience. Eligibility for specific benefits listed on our careers site may vary based on the job and location. For more on benefits, please visit https://careers.bms.com/life-at-bms/. Benefit offerings are subject to the terms and conditions of the applicable plans in effect at the time and may require enrollment.

Our benefits include:

Health Coverage:

Medical, pharmacy, dental, and vision care.

Wellbeing Support:

Programs such as BMS Well-Being Account, BMS Living Life Better, and Employee Assistance Programs (EAP).

Financial Well-being and Protection:

401(k) plan, short

• and long-term disability, life insurance, accident insurance, supplemental health insurance, business travel protection, personal liability protection, identity theft benefit, legal support, and survivor support.

Work-life benefits include:

Paid Time Off US Exempt Employees:

flexible time off (unlimited, with manager approval, 11 paid national holidays (not applicable to employees in Phoenix, AZ, Puerto Rico or Rayzebio employees)

Phoenix, AZ, Puerto Rico and Rayzebio Exempt, Non-Exempt, Hourly Employees:

160 hours annual paid vacation for new hires with manager approval, 11 national holidays, and 3 optional holidays Based on eligibility

• , additional time off for employees may include unlimited paid sick time, up to 2 paid volunteer days per year, summer hours flexibility, leaves of absence for medical, personal, parental, caregiver, bereavement, and military needs and an annual Global Shutdown between Christmas and New Years Day.

All global employees full and part-time who are actively employed at and paid directly by BMS at the end of the calendar year are eligible to take advantage of the Global Shutdown. •

Eligibility Disclosure:

T he summer hours program is for United States (U.S.) office-based employees due to the unique nature of their work. Summer hours are generally not available for field sales and manufacturing operations and may also be limited for the capability centers. Employees in remote-by-design or lab-based roles may be eligible for summer hours, depending on the nature of their work, and should discuss eligibility with their manager. Employees covered under a collective bargaining agreement should consult that document to determine if they are eligible. Contractors, leased workers and other service providers are not eligible to participate in the program. Uniquely Interesting Work, Life-changing Careers With a single vision as inspiring as "Transforming patients' lives through science™ ", every BMS employee plays an integral role in work that goes far beyond ordinary. Each of us is empowered to apply our individual talents and unique perspectives in a supportive culture, promoting global participation in clinical trials, while our shared values of passion, innovation, urgency, accountability, inclusion and integrity bring out the highest potential of each of our colleagues. On-site Protocol BMS has an occupancy structure that determines where an employee is required to conduct their work. This structure includes site-essential, site-by-design, field-based and remote-by-design jobs. The occupancy type that you are assigned is determined by the nature and responsibilities of your role: Site-essential roles require 100% of shifts onsite at your assigned facility. Site-by-design roles may be eligible for a hybrid work model with at least 50% onsite at your assigned facility. For these roles, onsite presence is considered an essential job function and is critical to collaboration, innovation, productivity, and a positive Company culture. For field-based and remote-by-design roles the ability to physically travel to visit customers, patients or business partners and to attend meetings on behalf of BMS as directed is an essential job function. Supporting People with Disabilities BMS is dedicated to ensuring that people with disabilities can excel through a transparent recruitment process, reasonable workplace accommodations/adjustments and ongoing support in their roles. Applicants can request a reasonable workplace accommodation/adjustment prior to accepting a job offer. If you require reasonable accommodations/adjustments in completing this application, or in any part of the recruitment process, direct your inquiries to . Visit careers.bms.com/ eeo

• accessibility to access our complete Equal Employment Opportunity statement.

Candidate Rights BMS will consider for employment qualified applicants with arrest and conviction records, pursuant to applicable laws in your area. If you live in or expect to work from Los Angeles County if hired for this position, please visit this page for important additional information: https://careers.bms.com/california-residents/ Data Protection We will never request payments, financial information, or social security numbers during our application or recruitment process. Learn more about protecting yourself at https://careers.bms.com/fraud-protection . Any data processed in connection with role applications will be treated in accordance with applicable data privacy policies and regulations. If you believe that the job posting is missing information required by local law or incorrect in any way, please contact BMS at . Please provide the Job Title and Requisition number so we can review. Communications related to your application should not be sent to this email and you will not receive a response. Inquiries related to the status of your application should be directed to Chat with Ripley.

R1605556

: Sr. Specialist, AI CRM Engineering