Principal, IT Engineering Enablement | AI Platforms | Onsite San Diego HQ

Neurocrine Biosciences•San Diego, CA

1d•Onsite

About The Position

The Principal, IT Engineering Enablement – AI Platforms leads enterprise-wide initiatives that define, deliver, and mature Neurocrine’s core AI and machine learning platforms. This role combines technical program leadership, platform product management, and strategic advisory responsibilities to accelerate enterprise adoption of secure, scalable, and governed AI capabilities. This role partners with Engineering, Data, Cybersecurity, Tech Enablement & Adoption, Compliance and business stakeholders to architect platform strategy, own the AI services roadmap, and orchestrate multi-team execution across complex workstreams. Acting as the organization’s primary technical AI subject-matter expert, this role drives evaluation of emerging models and technologies, ensures alignment to Responsible AI principles, and shapes the long-term platform foundation that enables advanced analytics, automation, and AI-powered applications across Neurocrine.

Requirements

Bachelor’s degree in Computer Science, Information Technology, or related field, or equivalent combination of education and experience
PMP certification (or in progress) strongly preferred
10+ years of relevant experience, including a combination of education and professional experience, in IT or related disciplines, ideally within the pharmaceutical industry or similar regulated environment
Working knowledge of enterprise AI components: RAG pipelines Embedding services LLM orchestration and evaluation Prompt governance Model performance monitoring
Understanding of foundation models, vector databases, third-party AI services, and AI safety/responsible AI concepts
Experience delivering automation frameworks, integration platforms, and reusable services
Understanding of telemetry, observability, SLOs, performance tuning, and platform reliability practices
Familiarity with data privacy, security requirements, and governance frameworks
Understanding of platform governance models—API lifecycle, versioning, access policies, auditability
Ability to define platform vision, multi-year roadmaps, and measurable KPIs
Experience evaluating emerging technologies and making strategic recommendations
Strong ability to drive complex, multi-team initiatives with clarity and momentum
Skilled at influencing without authority across engineering, data, cybersecurity, and business stakeholders
High-quality communication (written, verbal, executive-level summarization)
Expert in Agile/Scrum delivery, backlog management, milestone tracking, and risk mitigation
Demonstrated ability to run end-to-end program lifecycles—requirements, prioritization, delivery, rollout, and adoption
Skilled in structured decision-making and cross-functional alignment
Ability to translate ambiguous business needs into actionable technical roadmaps
Strong analytical mindset with a bias toward data-driven decisions
Comfortable using metrics/telemetry to diagnose issues and measure outcomes
Experience driving enterprise-wide adoption, onboarding, and training
Able to facilitate complex discussions, manage competing priorities, and resolve blockers

Responsibilities

Owns the strategy, roadmap, and lifecycle for Neurocrine’s AI/ML platforms—including model orchestration, RAG pipelines, embeddings services, prompt governance, vector search, and model performance monitoring.
Leads evaluation, selection, and integration of foundation models, third-party AI services, and emerging technologies to support enterprise AI use cases.
Defines platform requirements, success metrics, technical capabilities, and prioritization aligned with business value and risk considerations.
Develops ROI models for AI use cases and builds executive presentations and updates.
Serves as the company’s primary AI technical SME, advising leadership and cross-functional teams on AI feasibility, solution patterns, risks, and architectural alignment.
Partners with business units to shape AI concepts into actionable initiatives, ensuring platform capabilities and governance frameworks are consistently applied.
Identifies new opportunities for scalable AI adoption across functions, proactively recommending platform enhancements and enterprise best practices.
Leads the development and ongoing stewardship of Neurocrine’s Responsible AI governance framework, including council facilitation, policy creation, risk assessments, and guardrails for safe and compliant use of AI technologies.
Partners with Legal, Cybersecurity, Data Privacy, Tech Enablement & Adoption, and Compliance to ensure platform standards meet regulatory, ethical, and organizational requirements.
Defines operational readiness and auditability criteria for AI-enabled solutions across the enterprise.
Drives the end-to-end execution of AI and platform initiatives—requirements, dependency management, engineering coordination, release readiness, and enterprise rollout.
Orchestrates work across engineering, data, cybersecurity, infrastructure, and product teams to deliver integrated, scalable, and secure platform capabilities.
Implements and reinforces Agile/Scrum practices to improve transparency, delivery velocity, and alignment across multi-team programs.
Identifies and mitigates platform bottlenecks or risks related to scalability, security, cost, or developer experience.
Continuously evaluates industry trends to recommend platform evolutions that improve long-term sustainability and enterprise value.
Establishes and monitors platform KPIs—including availability, performance, adoption, SLOs, usage patterns, and business impact—to guide roadmap and operational improvements.
Partners closely with the Technical Enablement & Adoption Manager to ensure consistent onboarding, training, and communication for new AI capabilities.
Contributes subject-matter expertise to enablement content, adoption campaigns, and enterprise training—without serving as the primary owner of these functions.