Manager of AI Engineering

Galderma is a leading dermatology company with a science-based portfolio spanning injectable aesthetics, skincare, and therapeutic dermatology. Operating in approximately 90 countries, the company is building a dedicated enterprise AI capability through its AI Factory based in Krakow, Poland.

• 8+ years of experience in software or AI engineering, including 3+ years leading engineering teams.
• Proven track record delivering AI, machine learning, or Generative AI solutions into production, including monitoring and operations.
• Hands-on experience with modern ML/LLM stacks, APIs, data pipelines, and integration in enterprise environments.
• Strong experience collaborating with security, privacy, and legal teams to ship compliant solutions.
• Fluent English speaking and writing skills.

AI Factory Delivery & Execution:

• Own end-to-end delivery of AI products and solutions from backlog to production.
• Drive predictable execution, quality, and timely releases.

Architecture & Platform Stewardship:

• Define target architecture for AI solutions including APIs, integrations, data flows, and identity/access.
• Steward reusable components, reference patterns, and guardrails.

MLOps / LLMOps & Operational Excellence:

• Implement CI/CD for models and prompts, evaluation pipelines, and monitoring of performance, drift, and safety.
• Manage incident response and reliable rollbacks.
• Ensure strong transition to operations.

Security, Privacy, and Responsible AI by Design:

• Embed security controls, privacy requirements, and responsible AI measures throughout the software development lifecycle.

Engineering Standards & Quality:

• Set coding standards, testing strategy, documentation, and code review discipline.
• Enforce non-functional requirements such as latency, availability, and resilience.

Stakeholder & Vendor Management:

• Partner with business/product owners and data teams.
• Manage strategic vendors and tool providers.
• Support budget and capacity planning for the AI Factory.

People Leadership:

• Hire, develop, and retain a high-performing engineering team.
• Create growth plans and foster a learning culture.
• Encourage collaboration across a global matrix.