Pfizer

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

Pfizer

full-time

Posted on:

Location Type: Hybrid

Location: Thessaloniki • 🇬🇷 Greece

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Job Level

Senior

Tech Stack

AWSCloudCyber SecurityPython

About the role

  • 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

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
system architectureplatform developmentproduction AI systemsproduction Pythoncloud architectureGenAI technologiesMLOpsAI-based systemsscalable systemssoftware/cloud architectures
Soft skills
leadershippeople managementstakeholder managementexecutive communicationcross-functional deliverycommunication skillsconsensus buildingcapability developmentorganizational transformationupskilling
Certifications
Bachelor’s degree in Computer ScienceMaster’s degree in Computer ScienceBachelor’s degree in EngineeringMaster’s degree in EngineeringBachelor’s degree in AI/MLMaster’s degree in AI/ML