
AI Lead
Capgemini Polska
Kraków
Gdańsk
Wrocław
Poznań
Warszawa
Gdańsk, Pomeranian
Poznań, Greater Poland
Warszawa, Masovian
Kraków, Lesser Poland
Wrocław, Lower Silesia
Hybrydowa
AI strategy
ML systems
Generative AI
cloud platforms
Python
CI/CD
MLOps
Databricks
Snowflake
stakeholder management
Status
Hexjobs Insights
Capgemini Polska seeks an AI Lead to drive AI initiatives, overseeing delivery from modeling to production. Key skills include ML, Python, and cloud platforms.
Słowa kluczowe
AI strategy
ML systems
Generative AI
cloud platforms
Python
CI/CD
MLOps
Databricks
Snowflake
stakeholder management
Benefity
- Medical care with Medicover
- Private life insurance
- Multisport card
- Access to training and certifications on various platforms
- Continuous feedback and performance discussions
- Therapeutic support through Capgemini Helpline
Technologies we use
About the project
Your responsibilities
- Define and drive AI strategy across multiple projects and clients, ensuring alignment with business goals and long-term value.
- Lead end-to-end delivery of AI initiatives — from identifying opportunities and shaping solutions, through modeling and validation, to full production rollout.
- End-to-end delivery of AI initiatives — from identifying opportunities and shaping solutions, through modeling and validation, to full production rollout.
- Architect scalable ML and Generative AI systems on modern cloud platforms, ensuring performance, security, and maintainability.
- Promote and implement agentic AI patterns and LLM-based architectures wherever they bring measurable impact.
- Establish and enforce engineering excellence, including CI/CD, MLOps best practices, model evaluation frameworks, and robust observability standards.
- Mentor and guide data scientists and ML engineers, supporting their technical growth and ensuring high-quality output.
- Ensure production readiness of all AI solutions, focusing on reliability, cost efficiency, performance, and governance.
- Collaborate closely with stakeholders to define roadmaps, set priorities, and drive successful project outcomes.
- Balance innovation with pragmatism, choosing solutions that deliver both technological advancement and sustainable long-term value.term value.
Our requirements
- Proven experience delivering AI systems into production.
- Expertise in ML, Generative AI and agentic AI architectures.
- Hands-on experience with at least two cloud platforms (GCP, AWS or Azure).
- Strong Python skills and a production focused engineering mindset.
- Solid experience with CI/CD and modern MLOps practices.
- Familiarity with platforms such as Databricks or Snowflake.
- Experience in leading teams or technical workstreams.
- Strong communication, stakeholder management, and decision-making abilities.
- High ownership, autonomy and a pragmatic approach to problem solving.
What we offer
- Well-being culture: medical care with Medicover, private life insurance, and Multisport card. But we went one step further by creating our own Capgemini Helpline offering therapeutical support if needed and the educational podcast "Let's talk about wellbeing" which you can listen to on Spotify.
- Access to over 70 training tracks with certification opportunities (e.g., GenAI, Excel, Business Analysis, Project Management) on our NEXT platform. Dive into a world of knowledge with free access to Education First languages platform, Pluralsight, TED Talks, Coursera and Udemy Business materials and trainings.
- Continuous feedback and ongoing performance discussions thanks to our performance management tool GetSuccess
- supported by a transparent performance management policy.
- Enjoy hybrid working model that fits your life - after completing onboarding, connect work from a modern office with ergonomic work from home, thanks to home office package (including laptop, monitor, and chair). Ask your recruiter about the details.
Benefits
Wyświetlenia: 1
| Opublikowana | 2 dni temu |
| Wygasa | za 28 dni |
| Tryb pracy | Hybrydowa |
| Źródło |
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