Hybrid Senior Director, Head of Core GenAI Services Engineering – R&D Technology Ecosystem

at Pfizer

• Job title: Senior Director, Head of Core GenAI Services Engineering – R&D Technology Ecosystem
• Job type: Full Time
• Experience level: Senior
• Salary: Not specified
• Degree requirement: Bachelor's Degree
• Tech skills: AWS, Cloud, Cyber Security, Python
• Location requirements: Hybrid, Thessaloniki, Greece

About the role

• Senior Director leading Core GenAI Services Engineering at Pfizer. Driving AI transformation, strategy, and distributed engineering teams with a focus on operational execution in R&D.

Responsibilities

• Define and own the long-term vision and technical strategy for internal Core GenAI capabilities, ensuring alignment with enterprise AI goals and R&D business priorities.
• Lead the organizational AI transformation efforts, including upskilling and capability development across engineering and R&D teams.
• Leverage strong communication skills and experience interacting with senior customer and business stakeholders to drive consensus and adoption.
• Drive standards, playbooks, and global best practices for LLMs, SLMs, retrieval-augmented generation (RAG), orchestration frameworks, and GenAI architectures, specifically tailored for the highly regulated pharmaceutical space.
• Own the architecture and development of the Core GenAI Services and the high-performance, centralized GenAI Gateway, ensuring resilience, security, and low-latency API access for all consuming teams.
• Provide hands-on architectural depth based on a deep understanding of GenAI technologies (LLMs, SLMs, RAG, AI agents, orchestration frameworks) and modern software/cloud architectures.
• Apply expertise in productionizing complex AI-based systems, leveraging experience from diverse domains including Computer Vision and Security applications, including robust evaluation, deployment, monitoring, and governance frameworks (MLOps).

Requirements

• 15+ years of hands-on software engineering experience with deep expertise in system architecture, platform development, and production AI/ML systems.
• 10+ years of progressive leadership and people management experience (including managing managers or sub-teams).
• Demonstrated expertise in productionizing AI-based systems and scaling them for enterprise use across multiple, high-stakes domains (e.g., Computer Vision, Cybersecurity, GIS).
• Expert-level production Python and extensive cloud (AWS) architecture experience designing complex, scalable GenAI systems.
• Deep understanding of GenAI technologies (LLMs, SLMs, RAG, orchestration frameworks) and modern software/cloud architectures.
• Proven stakeholder management, executive communication, and cross-functional delivery in complex, regulated environments.
• Bachelor’s or Master’s degree in Computer Science, Engineering, AI/ML, or a related technical field.

Benefits

• Health insurance
• Retirement plans
• Paid time off
• Flexible work arrangements
• Professional development opportunities