Manager of AI Engineering

Galderma is a dermatology company present in approximately 90 countries, delivering a portfolio of premium flagship brands and services in Injectable Aesthetics, Dermatological Skincare, and Therapeutic Dermatology. Founded in 1981, the company focuses on skin health and partners with healthcare professionals to meet consumer and patient needs.

• 8+ years in software/AI engineering with 3+ years leading engineering teams
• Proven track record delivering AI/ML or GenAI 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 to ship compliant solutions
• Strong English speaking and writing skills

AI Factory Delivery & Execution:

• Own end-to-end delivery of AI products/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, identity/access
• Steward reusable components, reference patterns, and guardrails

MLOps / LLMOps & Operational Excellence:

• Implement CI/CD for models and prompts, evaluation pipelines, monitoring (performance, drift, safety), 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 (human-in-the-loop, content safety, auditability) throughout the SDLC

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 a learning culture
• Foster collaboration across a global matrix