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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Sr. Specialist, AI CRM Engineering - **Company:** Bristol Myers Squibb - **Location:** Princeton, NJ, United States - **Experience:** Expert - **Salary:** $81,260.0 - $98,468.0 - **Contract:** Permanent contract - **Skills:** Java (Programming Language), JavaScript (Programming Language), Application Programming Interfaces (APIs), Agile Methodology, Artificial Intelligence, Amazon Web Services, JIRA, Microsoft Azure, Cloud Computing, Configuration Management, Code Review, Continuous Integration, Customer Data Management, Data Architecture, Data Cleansing, Extract Transform Load (ETL), Software Design Patterns, Github, Python (Programming Language), Machine Learning, Natural Language Processing, Scrum Methodology, Systems Development Life Cycle, Salesforce.Com, Sentiment Analysis, Software Engineering, SQL Databases, Systems Integration, Workflow Management Systems, Data Processing, Scripting, Enterprise Software Applications, Large Language Models, Prompt Engineering, Generative AI, Event Driven Architecture, AI Platforms, Information Technology, Atlassian Tools, Machine Learning Operations, Tools for Reporting, Api Gateway, Restful APIs, Veeva, VeevaVault, GPT, Data Pipelines, Jenkins, Databricks - **Published:** August 22, 2026 - **Apply:** https://www.techcareers.com/job.asp?id=3362160167&tx=KR3131FFP&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54 ## About the Role 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. ## Description * 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., 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 adastaffingsupport@bms.com . Visit careers.bms.com/ (https://careers.bms.com/eeo-accessibility) 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. ## Related Videos - [Blueprints for Success: Steering a Global Data & AI Architecture](https://www.wearedevelopers.com/videos/1577-blueprints-for-success-steering-a-global-data-ai-architecture) - [ Evaluating AI models for code comprehension](https://www.wearedevelopers.com/videos/1462-evaluating-ai-models-for-code-comprehension) - [Improving quality with Agentic AI with Rovo Dev and Xray](https://www.wearedevelopers.com/videos/2005-improving-quality-with-agentic-ai-with-rovo-dev-and-xray) - [Integrate your Cognitive Assistant with 3rd-party DBs and software](https://www.wearedevelopers.com/videos/249-integrate-your-cognitive-assistant-with-3rd-party-dbs-and-software) - [Streaming AI Responses in Real-Time with SSE in Next.js & NestJS](https://www.wearedevelopers.com/videos/1630-streaming-ai-responses-in-real-time-with-sse-in-next-js-nestjs) - [Collaboration Quantified: Lessons from Open Source Developer Networks](https://www.wearedevelopers.com/videos/1422-collaboration-quantified-lessons-from-open-source-developer-networks) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts) - [From Prototype to Production: Build AI Agents with This Free 4-Course Learning Path](https://www.wearedevelopers.com/magazine/655-from-prototype-to-production-build-ai-agents-with-this-free-4-course-learning-path)