Lead AI Solution Architect

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. We’re doing it with energy, curiosity and sheer dedication, always learning from unique perspectives of those around us, expanding our thinking, growing our capabilities and redefining ‘impossible’. There are so many reasons to join us. If you’re hungry to build a varied and meaningful career in a community of brilliant and diverse minds to make a real difference, there’s only one choice.

We are looking for a Lead AI Solution Architect! 

Lead AI Solution Architect has complete oversight of AI Engineering within a platform. Individuals in this role leverage their extensive proficiency of LLMs, machine learning models, natural language processing, computer vision, and other AI technologies to set direction, define strategy and architectural best practices, build organizational capability, and champion the role of AI Engineering in driving business priorities.

YOUR TASKS AND RESPONSIBILITIES: 

AI System Design & Strategy

• Architecting AI-powered systems for enterprise-level use cases.

• Designing scalable LLM architectures with:

• Document processing workflows

• Chatbot orchestration

• Vector RAG optimization

• Selecting the right AI models & frameworks based on use case, performance, and cost.

Multi-Agent AI & Orchestration Strategy

• Designing multi-agent AI workflows that scale.

• Architecting rules-based & AI-based decision-making frameworks.

• Defining the best orchestrator functionality for multi-agent coordination.

Cloud & Enterprise AI Infrastructure (AWS Focused)

• Architecting containerized AI services using AWS ECS, EKS, Fargate.

• Optimizing AI pipelines with AWS Lambda, Step Functions, API Gateway.

• Implementing secure and scalable AI governance models on AWS.

AI Governance & Model Optimization

• Designing AI monitoring & governance frameworks (bias detection, model drift, compliance).

• Overseeing LLM evaluation, security & performance tuning.

• Managing AI integration with enterprise data pipelines.

Leadership & Decision-Making

• Making high-level AI architectural decisions for model deployment.

• Collaborating with Data Scientists, ML Engineers, and Cloud Teams to ensure a scalable AI ecosystem.

• Defining AI best practices & reusable frameworks for engineering teams.

WHO YOU ARE:

Required:

Educational Background

• Bachelor's Degree or Master's Degree or Ph. D in Computer Science, Data Science, Artificial Intelligence, or a related field.

Technical Skills

• AI & Machine Learning Expertise: Deep understanding of AI concepts, including machine learning algorithms, natural language processing, and deep learning frameworks (e.g., TensorFlow, PyTorch).

• System Architecture: Proficiency in designing scalable and robust AI systems, particularly for enterprise applications.

• Cloud Platforms: Extensive experience with AWS services, particularly in:

• Containerization (ECS, EKS, Fargate)

• Serverless computing (AWS Lambda, Step Functions)

• API management (API Gateway)

• Model Selection & Optimization: Ability to select appropriate AI models and frameworks based on performance metrics, cost-effectiveness, and specific use cases.

Experience

• Industry Experience: 8+ years of experience in AI/ML roles, with a focus on architecture and system design.

• Project Management: Experience in leading AI projects and managing cross-functional teams.

• Multi-Agent Systems: Familiarity with designing and implementing multi-agent workflows and decision-making frameworks.

Soft Skills

• Leadership Skills: Proven ability to lead teams and make high-level architectural decisions.

• Collaboration: Strong interpersonal skills to collaborate effectively with Data Scientists, ML Engineers, and Cloud Teams.

• Communication: Excellent verbal and written communication skills to articulate complex AI concepts to non-technical stakeholders.

Governance & Compliance Knowledge

• AI Governance: Understanding of AI ethics, bias detection, model drift, and compliance with regulations.

• Security Awareness: Knowledge of security best practices in AI model deployment and data handling.

Continuous Learning

• Staying Updated: Commitment to continuous learning in the rapidly evolving field of AI, including obtaining relevant certifications.

Preferred:

• Relevant certifications in cloud architecture (e.g., AWS Certified Solutions Architect).

• AI/ML certifications from recognized institutions (e.g., Google Cloud Professional Machine Learning Engineer, Microsoft Certified: Azure AI Engineer Associate).

You feel you do not meet all criteria we are looking for? That doesn’t mean you aren’t the right fit for the role. Apply with confidence, we value potential over perfection!

WHAT DO WE OFFER:

• A flexible, hybrid work model 

• Great workplace in a new modern office in Warsaw

• Career development, 360° Feedback & Mentoring programme

• Wide access to professional development tools, trainings, & conferences

• Company Bonus & Reward Structure 

• Company car or car allowance

• Increased tax-deductible costs for authors of copyrighted works

• VIP Medical Care Package (including Dental & Mental health)

• Life & Travel Insurance

• Pension plan

• Co-financed sport card - FitProfit

• Meals Subsidy in Office 

• Budget for Home Office Setup & Maintenance

• Access to Company Game Room equipped with table tennis, soccer table, Sony PlayStation 5 and Xbox Series X consoles setup with premium game passes, and massage chairs

• Tailored-made support in relocation to Warsaw when needed

• Please send your CV in English 

WORK LOCATION: WARSAW AL. JEROZOLIMSKIE 158

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) using the contact information below. 

Bayer offers the possibility of working in a hybrid model. We know how important work-life balance is, so our employees can work from home, from the office or combine both work environments. The possibilities of using the hybrid model are each time discussed with the manager.Bayer respects and applies the Whistleblower Act in Poland.