Associate Director, Rewire Field Experience and Agentic AI Architect

Bristol Myers Squibb•Princeton, NJ

8d•$169,150 - $204,970

About The Position

The Associate Director, Rewire Field Experience and Agentic AI Architect owns the IT architecture for the core Rewire Field agentic experience: a connected pre-call, interaction, and post-call journey that brings together CRM, field intelligence, orchestration outputs, and AI agents. The role is focused on helping field users understand what matters and why, determine the next action, and complete it directly in their workflow. Working with Commercial, CASA, Data and Insights, Orchestration, CRM, Engineering, and UX, the architect defines the technical blueprint for the core experience, including integration with Veeva Vault CRM. The role also defines integration with partner-owned coaching and performance capabilities while leaving ownership of their internal architecture with those teams. Cybersecurity, Privacy, Legal, and Compliance are engaged to ensure the experience is built responsibly. The role’s core scope includes the AI Prep Agent, Field Intelligence Dashboard, AI Post-Call Agent, and HCP-Facing AI Agents. The architecture spans experience, application, integration, intelligence, data, and security layers. It covers contextual reasoning, summaries, agent orchestration, workflow execution, user interactions, and feedback loops, and supports human oversight, traceability, explainability, access controls, monitoring, and auditability. The architect owns technical direction, standards, architecture decisions, evaluations, and build-versus-buy recommendations within the core experience scope. They work with engineering teams to turn experience concepts into components, APIs, user stories, and delivery plans; validate design choices with prototypes and working software; incorporate pilot-user feedback; and define architecture-level measures connected to adoption, administrative burden, workflow completion, and experience quality. The experience should be designed for reuse across markets, with regional and international teams responsible for market-specific adaptation.

Requirements

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.
Proven ability to translate business experience concepts into scalable technical architectures and executable delivery plans.
Experience with CRM and commercial platforms; Veeva Vault CRM, Veeva Commercial Cloud, Salesforce, or comparable platforms are noted.
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 technical requirements for coherent experiences across embedded, native, web, and mobile interfaces.
Experience 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.

Nice To Haves

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.

Responsibilities

Define and maintain end-to-end IT architecture for the AI Prep Agent, Field Intelligence Dashboard, AI Post-Call Agent, and HCP-Facing AI Agents across experience, application, integration, intelligence, data, and security layers.
Design a connected pre-call, interaction, and post-call experience that enables field users to move from insight to understanding, recommendation, action, and feedback without repeatedly navigating between systems.
Define integration patterns among Veeva Vault CRM, Databricks, data products, orchestration services, enterprise AI capabilities, and other field-facing platforms.
Partner with the CRM migration team so new Vault capabilities, objects, workflows, and data models support the future core experience.
Define the consumer-layer architecture, including contextual reasoning, summaries, agent orchestration, workflow execution, user interactions, and feedback loops.
Establish technical patterns that turn insights and orchestration outputs into structured, explainable, actionable field intelligence and AI briefs.
Enable agentic workflows for interaction preparation, post-call activities, recommendations, feedback capture, and access to relevant customer information.
Determine which capabilities should be provided by Always-On Insights and Orchestration and which require additional consumer-layer reasoning, agents, or workflow logic.
Define integration points with the partner-owned Personalized Coaching Platform and Real-Time Performance Tracker, and ensure relevant customer context, interaction data, and field intelligence are exposed through well-defined interfaces.
Work with coaching and performance platform owners to confirm APIs, data outputs, and auditability meet the core experience’s needs; escalate conflicting architectural approaches to governance.
Own architecture decisions, standards, technical direction, solution blueprints, interface contracts, and architecture decision records for the core experience.
Lead technical evaluations and build-versus-buy recommendations within the core experience scope, ensuring solutions are scalable, modular, and replaceable without redesigning the full experience.
Embed cybersecurity, privacy, legal, regulatory, compliance, and responsible AI requirements into the architecture, including controls for AI-generated content, summaries, customer information, and agent-initiated actions.
Partner with Privacy, Legal, Compliance, and Cybersecurity to define approval patterns for AI agents and ensure appropriate human oversight, traceability, explainability, access controls, monitoring, and auditability.
Translate architecture into incremental releases that can be piloted, measured, improved, and scaled.
Work with engineering teams to translate 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 wider 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 for reuse across markets while regional and international teams own market-specific adaptation.
Escalate cross-program or enterprise-wide architectural decisions beyond the core experience to senior architecture leadership.

Benefits

Comprehensive benefit plans, including wellbeing support, retirement and financial protection benefits, and insurance offerings.
Medical, dental, vision, life, and disability insurance offerings, subject to applicable plan terms and eligibility.
Flexible Time Off (FTO) without a set accrual limit for eligible U.S.-based exempt employees, subject to manager approval.
11 paid company holidays each year for eligible U.S.-based exempt employees.
For specified employee groups, 160 hours of paid vacation annually for new hires, 11 paid company holidays, and 3 optional holidays.
Depending on eligibility, paid sick leave and up to two paid volunteer days per year.
Summer hours flexibility, where eligible.
Leaves of absence for medical, personal, parental, caregiver, bereavement, or military needs, as applicable.
Annual Global Shutdown between Christmas Day and New Year's Day for eligible employees.
Potential eligibility for additional discretionary incentive cash and stock opportunities.