Top AI & Machine Learning Jobs

Lead and build Pfizer's AI-first design system across human and agent surfaces. Ship design standards-as-code, own conversational and agentic UX, drive adoption metrics, produce high-fidelity prototypes, advise executives, partner with AI/Product/Engineering, and grow a high-performing design team focused on safety, compliance, accessibility, and measurable experience outcomes.

Designs and delivers AI-powered experiences across Pfizer platforms, specializing in agentic AI and conversational UX. Responsibilities include experience strategy, prototyping with LLM APIs and agent frameworks, interaction and conversation design, human oversight and safety patterns, validation, accessibility, implementation partnership, reusable design systems, and outcome measurement. The role requires close collaboration with Product, Engineering, Data, and AI teams and ownership of complex initiatives from problem framing through production delivery.

Executive leader responsible for defining Pfizer’s applied AI strategy and target architecture across commercial, data, platform, application, and workflow environments. Establishes AI standards, governance, technical decision frameworks, reusable architecture patterns, and responsible AI practices. Provides technical oversight for strategic transformation initiatives, influences senior stakeholders across a matrixed organization, and builds a team of applied AI architects and technical experts. Requires deep expertise in generative AI, agentic systems, machine learning, enterprise architecture, and regulated environments.

Leads AI horizon scanning and technology intelligence for Pfizer’s U.S. Commercial organization. Evaluates emerging AI technologies, vendors, models, and partnerships; translates findings into commercial opportunities, strategic recommendations, roadmaps, and proofs of value. Oversees innovation portfolio prioritization, responsible AI and enterprise-readiness assessments, executive thought leadership, and cross-functional collaboration across product, data, architecture, governance, and transformation teams.

Leads a hands-on applied AI/ML team developing validated prototypes for ambiguous commercial problems. Responsibilities include problem framing, experimental design, model and data pipeline development, LLM and GenAI applications, engineering practices, CI/CD, MLOps, reproducibility, stakeholder communication, and prototype handoff to production teams. The manager mentors or leads data scientists and engineers while contributing directly to architecture, coding, evaluation, and strategic investment decisions.

Owns the architecture and modeling foundation for AI-ready commercial data across Pfizer International Commercial. Responsibilities include defining readiness standards, designing dimensional and semantic models, building knowledge graphs and retrieval architectures, integrating structured and unstructured data, and governing AI data products. The role provides architectural leadership, conducts design reviews, develops reference architectures, and enables engineering teams without direct people management. It requires extensive experience in data architecture, AI-ready data products, semantic layers, cloud platforms, modern data tooling, and regulated data environments.

Leads Pfizer’s Analytics Gateway AI Engineering, Data Engineering, and BI teams of approximately 20 colleagues. Oversees AI-enabled analytics and agentic solutions from architecture and proof of concept through production, including Snowflake Cortex Agents, MLOps/LLMOps, data foundations, ETL, BI, governance, monitoring, and responsible AI. Manages direct reports, hiring, development, resource allocation, stakeholder alignment, and strategic delivery for global commercial analytics.

Design and analyze clinical trials ensuring compliance with regulations, provide statistical guidance, and collaborate with teams for effective drug development.