Manager of AI Engineering

Galderma Services Poland sp. z o.o.; Kraków; On-site; PLN 120,000 - 150,000; Full time

Benefits offered by this job

Competitive compensation with bonus structure

Hybrid work culture

Personalized career path

Growing company environment

Diversity & inclusion culture

Job summary

Galderma Services Poland sp. z o.o. is seeking a Manager of AI Engineering based in Krakow. This role requires owning the end-to-end delivery of AI solutions and developing a high-performing engineering team. Candidates should have over 8 years in AI engineering and experience in leading teams.

The position promotes a hybrid work culture and offers a competitive compensation package. Successful candidates will benefit from a personalized career path and a diverse and inclusive work environment.

Qualifications

• 8+ years in software/AI engineering with 3+ years leading engineering teams.
• Proven track record delivering AI/ML solutions into production.
• Hands-on experience with modern ML/LLM stacks and enterprise integration.

Responsibilities

• Own end-to-end delivery of AI products from backlog to production.
• Define target architecture for AI solutions and steward reusable components.
• Hire, develop, and retain a high-performing engineering team.

Skills

Software/AI engineering

Team leadership

AI/ML solution delivery

Modern ML/LLM stacks

Security and compliance collaboration

English proficiency

Job description

Role

Manager of AI Engineering – Krakow (3 days/week onsite, United Tower IT hub)

Key responsibilities

• Own end‑to‑end delivery of AI products/solutions from backlog to production, driving predictable execution, quality and timely releases.
• Define target architecture for AI solutions (APIs, integrations, data flows, identity/access), and steward reusable components, reference patterns and guardrails.
• Implement CI/CD for models and prompts, evaluation pipelines, monitoring (performance, drift, safety), incident response and reliable rollbacks, ensuring strong transition‑to‑operations.
• Embed security controls, privacy requirements and responsible AI measures (human‑in‑the‑loop, content safety, auditability) throughout the SDLC.
• Set coding standards, testing strategy, documentation and code review discipline; enforce non‑functional requirements such as latency, availability and resilience.
• Partner with business/product owners and data teams; manage strategic vendors and tool providers, and support budget and capacity planning for the AI Factory.
• Hire, develop and retain a high‑performing engineering team; create growth plans, foster collaboration across a global matrix and promote a learning culture.

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.

Benefits

• Competitive compensation package with bonus structure and extended benefits.
• Hybrid work culture.
• Personalised career path with feedback loops.
• Opportunity to work in a growing company that empowers employees from day one.
• Diversity & inclusion culture that values different perspectives.