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Bristol Myers Squibb

Makes drugs for cancer, blood and immune diseases

Associate Director - Rewire Field Experience, Agentic AI Architect

Enterprise ApplicationsConfirmed live in the last 24 hours
Full-timePrinceton, NJ, USAIn-person

About the Job

Requirements

  • A bachelor's or master's degree in Computer Science, Engineering, Information Systems, Data Science, or a related field.
  • At least 8 years of experience in enterprise solution architecture, commercial technology, AI architecture, digital product architecture, or field-facing technology.
  • Experience designing connected enterprise experiences spanning multiple applications, data sources, workflows, and user interfaces.
  • Strong understanding of agentic AI, generative AI, contextual reasoning, AI orchestration, workflow automation, and human-in-the-loop design.
  • Ability to translate business experience concepts into scalable technical architectures and executable delivery plans.
  • Experience with CRM and commercial platforms, ideally including Veeva Vault CRM, Veeva Commercial Cloud, Salesforce, or comparable platforms.
  • Strong knowledge of APIs, event-driven architecture, middleware, data products, master data, real-time integrations, identity, authorization, and workflow orchestration.
  • Experience with cloud, data, and AI platforms such as Databricks, Azure, AWS, OpenAI, or equivalent enterprise technologies.
  • Understanding of UX architecture and the technical requirements for coherent experiences across embedded, native, web, and mobile interfaces.
  • Experience working in pharmaceutical, biotechnology, medical device, or another highly regulated industry.
  • Strong understanding of privacy, cybersecurity, responsible AI, compliance, and auditability requirements for enterprise AI solutions.
  • Ability to communicate complex technical decisions clearly to commercial leaders, product owners, engineers, data scientists, enterprise architects, and vendors.

Responsibilities

  • Define and maintain the end-to-end IT architecture for the core Rewire Field experience, spanning experience, application, integration, intelligence, data, and security layers.
  • Design a connected experience that allows field users to move from insight to understanding, recommendation, action, and feedback without repeatedly navigating between systems.
  • Architect the AI Prep Agent, Field Intelligence Dashboard, and AI Post-Call Agent as one continuous pre-call, interaction, and post-call experience.
  • Define integration patterns between Veeva Vault CRM, Databricks, data products, orchestration services, enterprise AI capabilities, and other field-facing platforms.
  • Partner with the CRM migration team to ensure new Vault capabilities, objects, workflows, and data models support the future core experience.
  • Ensure the architecture supports a simpler, personalized, AI-enabled field experience that reduces administrative burden and strengthens customer engagement.
  • Define the consumer-layer IT architecture, including contextual reasoning, summaries, agent orchestration, workflow execution, user interactions, and feedback loops.
  • Establish technical patterns to turn insights and orchestration outputs into structured, explainable, and actionable field intelligence.
  • Design AI briefs that summarize customer situations, explain opportunities or risks, and clarify recommended next actions.
  • Enable agentic workflows for preparing for interactions, completing post-call activities, responding to recommendations, capturing feedback, and accessing customer information.
  • Define which capabilities should be delivered by Always-On Insights and Orchestration and which require additional reasoning, agents, or workflow logic in the consumer layer.
  • Ensure upstream outputs are sufficiently granular and structured to support agents, workflows, summaries, and interactive experiences.
  • Define integration points between the core agentic experience and the Personalized Coaching Platform and Real-Time Performance Tracker.
  • Ensure customer context, interaction data, and field intelligence needed by coaching and performance systems are exposed through well-defined interfaces without taking ownership of those platforms' internal architecture.
  • Partner with coaching and performance platform owners to confirm their APIs, data outputs, and auditability meet the core experience's needs.
  • Escalate conflicting architectural approaches between the core experience and adjacent platforms to architecture governance.
  • Own architecture decisions, standards, and technical direction for the core agentic field experience within enterprise and commercial architecture governance principles.
  • Lead technical evaluations and build-versus-buy recommendations for capabilities within the core experience's scope.
  • Maintain architecture decision records, solution blueprints, and interface contracts for the core experience.
  • Ensure technical decisions support scalability, modularity, and replacement of individual components without redesigning the full experience.
  • Escalate cross-program or enterprise-wide architectural decisions beyond the core experience to senior architecture leadership.
  • Embed cybersecurity, data privacy, legal, regulatory, and responsible AI requirements into the core experience architecture from the beginning.
  • Define architecture controls for AI-generated content, dynamic summaries, customer information, and agent-initiated actions.
  • Ensure agentic workflows include human oversight, traceability, explainability, access controls, monitoring, and auditability.
  • Partner with Privacy, Legal, Compliance, and Cybersecurity to define approval patterns for AI agents.
  • Translate the core experience architecture into incremental releases that can be piloted, measured, improved, and scaled.
  • Work directly with engineering teams to convert experience concepts into buildable technical components, APIs, user stories, and delivery plans.
  • Use prototypes, proofs of concept, and working software to validate architecture choices before broader deployment.
  • Establish architecture feedback loops with field ambassadors and pilot users, ensuring feedback informs intelligence logic, workflow design, and integration patterns.
  • Define architecture-level success measures connected to field adoption, administrative burden, workflow completion, and experience quality.
  • Design the core experience for reuse and extension to other markets, while regional and international teams own market-specific adaptation.

Desired Qualifications

  • Experience designing AI-enabled field, sales, medical, or customer engagement experiences.
  • Experience with Veeva Vault CRM agents, commercial insights, call planning, post-call workflows, or related field capabilities.
  • Experience integrating with adjacent learning, coaching, or performance-management platforms through APIs or data contracts.
  • Familiarity with AI product evaluation, build-versus-buy decisions, vendor architecture assessments, and proof-of-concept delivery.
  • Experience supporting or contributing to global deployments across the US, international markets, and Japan.
  • Architecture or cloud certifications such as TOGAF, Azure, AWS, Databricks, Salesforce, Veeva, or relevant AI credentials.

About the Company

Bristol Myers Squibb

Makes drugs for cancer, blood and immune diseases

Bristol Myers Squibb discovers, develops and sells prescription medicines for serious illnesses, including cancer, blood disorders, immune diseases and heart disease, for patients treated by doctors and hospitals around the world. Its best-known drug is Opdivo, an immunotherapy that helps the body's own immune system find and attack many kinds of cancer. Researchers develop drug candidates in its labs or bring them in through acquisitions and partnerships, then test them in clinical trials to win regulatory approval. The company makes and markets the approved medicines and earns its revenue from sales of patent-protected drugs. Its roots go back to a business founded in 1887, and it is based in Lawrence Township, New Jersey.

Company size
10,001+
Company stage
IPO
Headquarters
Lawrence Township, NJ
Founded
1887

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