Lead AI Engineer
At Bayer we’re visionaries, driven to solve the world’s toughest challenges and striving for a world where Health for all, Hunger for none is no longer a dream, but a real possibility.
A Lead AI Engineer champions the architecture, development, and implementation of artificial intelligence solutions that address specific business problems. Individuals in this role leverage extensive knowledge of large language models, machine learning, natural language processing, computer vision, and other AI technologies to solve complex business challenges and foster collaboration across the organization.
Your Tasks and Responsibilities
- Lead cross‑functional teams in the design, architecture and implementation of cutting‑edge agentic systems, machine learning models, and algorithms to tackle complex business challenges.
- Lead or oversee the development and deployment of scalable AI products, ensuring they align with organizational goals and deliver measurable value.
- Champion the use of state‑of‑the‑art cloud technologies (e.g., AWS, Azure, Google Cloud) to enhance and promote the industrialization and operationalization of machine learning models and AI solutions across the organization.
- Provide expert guidance and mentorship on the operational support of agentic systems and machine learning models, ensuring their reliability, performance and scalability in production environments.
- Lead the architecture and design of robust, scalable data pipelines in collaboration with data engineers, cloud engineers and data scientists.
- Lead initiatives in data preprocessing, ingestion and transformation across hybrid environments, ensuring adherence to best practices and standards.
- Establish comprehensive data quality assurance processes, including validation checks and data drift detection mechanisms.
- Mentor and guide team members in system evaluation and model training, focusing on industrialization through cloud technologies and experimentation.
- Lead the evaluation and tuning of models, utilizing comprehensive metrics and performance benchmarks to refine algorithms and enhance predictive capabilities.
- Lead the integration of AI components with existing software systems and workflows, ensuring seamless functionality and optimal user experience.
- Direct the deployment of AI solutions into production environments, implementing architecture best practices to ensure operational excellence.
- Maintain comprehensive documentation of agentic AI systems, ML models, algorithms, solution architecture and processes.
- Engage proactively with team members and stakeholders to gather requirements, provide insights and deliver effective AI solutions.
- Communicate complex AI concepts and results effectively to both technical and non‑technical stakeholders.
- Act as a leader or technical specialist, providing detailed support and guidance within the organization and helping colleagues develop skills.
- Drive initiatives to stay abreast of emerging AI trends, technologies and methodologies, actively contributing to the enhancement of team capabilities and innovation.
- Conduct research and experimentation to explore new AI techniques, providing strategic insights that can inform future projects.
Who You Are
Required
- Master’s or Ph.D. degree in Computer Science, Information Technology, Data Science, Artificial Intelligence or a related field, or Bachelor’s with minimum 7 years of experience.
- Proven experience as an AI Engineer, Machine Learning Engineer or similar role.
- Experience in developing and deploying machine learning models and AI systems.
- Proficiency in Python.
- Strong knowledge of agentic frameworks (LangChain, pydantic‑ai, strands, crew.ai).
- Strong knowledge of machine learning frameworks (TensorFlow, PyTorch, Scikit‑learn).
- Experience with natural language processing, computer vision and other AI techniques.
- Familiarity with cloud platforms (AWS, Azure, Google Cloud).
- Experience with industrializing machine learning and AI use cases using cloud‑native services (AWS SageMaker, Azure ML).
- Strong analytical skills and the ability to work with complex datasets.
- Excellent problem‑solving skills with a focus on developing innovative AI solutions.
- Excellent verbal and written communication skills.
- Ability to work collaboratively in a cross‑functional team environment.
- Strong organizational skills and the ability to manage multiple AI projects simultaneously.
- Experience with Agile methodologies and tools (Azure DevOps, Scrum).
Preferred
- Relevant certifications in AI, machine learning or data science (e.g., AWS Certified Machine Learning or Solutions Architect, Azure AI Engineer).
What We Offer
- A flexible, hybrid work model.
- Modern office in Warsaw.
- Career development, 360° feedback and mentoring programme.
- Access to professional development tools, training and conferences.
- Company bonus and reward structure.
- Company car or car allowance.
- Increased tax‑deductible costs for authors of copyrighted works.
- VIP medical care package (including dental and mental health).
- Life and travel insurance.
- Pension plan.
- Co‑financed sport card – FitProfit.
- Meals subsidy in office.
- Budget for home office setup and maintenance.
- Access to company game room equipped with table tennis, soccer table, Sony PlayStation 5 and Xbox Series X consoles and massage chairs.
- Tailored‑made support in relocation to Warsaw when needed.
- Please send your CV in English.
Work Location
Warsaw, Al. Jerozolimskie 158, Poland.
Your Application
Bayer welcomes applications from all individuals, regardless of race, national origin, gender, age, physical characteristics, social origin, disability, union membership, religion, family status, pregnancy, sexual orientation, gender identity, gender expression or any unlawful criterion under applicable law. We are committed to treating all applicants fairly and avoiding discrimination.
Bayer is committed to providing access and reasonable accommodations in its application process for individuals with disabilities and encourages applicants with disabilities to request any needed accommodation(s). https://career.bayer.com/en-US/carrel/ui/public/careers/applicants/disability?language=en_US&circle=1
Bayer offers the possibility of working in a hybrid model. The specifics are discussed with the manager.
Whistleblower Act in Poland is respected and applied.
Seniority level
Employment type
Job function
- Engineering and Information Technology
- Industries: Chemical Manufacturing, Pharmaceutical Manufacturing, Biotechnology Research
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