About the project

• 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 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.

Our requirements

• 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).

Technologies we use

What 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