Manager of AI Engineering

Job description

Whether it's the unique breadth of our integrated offering that covers Injectable Aesthetics, Dermatological Skincare and Therapeutic Dermatology products; or our commitment to recognizing and rewarding people for the contribution they make - working here isn't like anywhere else. At Galderma, we actively give our teams reasons to believe in our ambition to become the leading dermatology company in the world. With us, you have the ultimate opportunity to gain new and challenging work experiences and create an unparalleled, direct impact. Role: Manager of AI Engineering Location: Krakow – 3 days/week onsite Based in our new IT hub at Unity Tower in Krakow, this is an exciting opportunity to join Galderma’s growing IT presence in Poland as a Manager of AI Engineering. Galderma is building a dedicated enterprise AI capability to deliver secure, scalable solutions across the organisation. As Manager of AI Engineering, you will lead the technical execution of our AI Factory, overseeing the architecture, engineering standards, and operational reliability of AI solutions from concept through to production. Reporting to the Senior Manager of AI & Automation, you will translate business demand into robust technical designs, assess feasibility of new use cases, and ensure solutions are delivered with strong lifecycle management and production discipline. Working closely with data, security, legal, and business teams, you will help establish the engineering foundations that enable responsible and sustainable AI at scale. Key responsibilities 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 (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 (latency, availability, 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. Skills and Qualifications 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 What we offer in return: You will be working for an organization that embraces diversity & inclusion and believe we will deliver better outcomes by reflecting the perspectives of our diverse customer base. You will receive a competitive compensation package with bonus structure and extended benefit package. You will be able to work in a hybrid work culture. You will participate in feedback loops, during which a personalized career path will be established. You will be joining a growing company that believes in ownership from day one where everyone is empowered to grow and to take on accountability. Next Steps: If your profile is a match, we will invite you for a first virtual conversation with the recruiter. The next step is a virtual conversation with the hiring manager and the wider team. The final step is an in-person interview with the local HRBP Our people make a difference At Galderma, you’ll work with people who are like you. And people that are different. We value what every member of our team brings. Professionalism, collaboration, and a friendly, supportive ethos is the perfect environment for people to thrive and excel in what they do.