AI Solution Architect

Our requirements

• Bachelor’s or Master’s degree in Artificial Intelligence, Computer Science, Information Systems, or a related field
• Several years of proven experience working with AI applications and modern AI technologies (e.g. ML, Generative AI, LLMs, Agentic AI)
• Experience with major AI frameworks such as TensorFlow or PyTorch
• Experience with AI cloud platforms (e.g. AWS, Azure, SAP AI)
• Strong understanding of AI architecture design and implementation
• Experience with MLOps and production deployment of AI systems
• Experience in industrial environments (e.g. predictive maintenance) is a plus
• Experience with AI agents and workflow automation is an advantage
• Experience building or contributing to AI Centers of Excellence or AI programs is a plus
• Excellent communication and presentation skills in English; German is a plus
• Willingness to travel (initial onboarding period and occasional workshops)

Your responsibilities

• Act as a go-to expert for AI-related topics across client engagements
• Lead the design of end-to-end AI architectures, including data pipelines, model training environments, integrations, and MLOps strategies
• Evaluate and select appropriate AI frameworks, tools, and models
• Support decision-making processes for make vs. buy AI solutions
• Ensure AI solutions comply with security standards, ethical guidelines, and enterprise reliability requirements
• Support product management and innovation teams in identifying AI use cases that deliver real business value (e.g. efficiency improvements, customer value)
• Contribute to the creation of AI strategy and roadmaps, including ideation workshops, AI hackathons, and architecture discussions
• Provide technical leadership in Machine Learning, Generative AI, and Agentic AI
• Collaborate with product managers, data scientists, data engineers, and DevOps engineers to bring AI solutions into production
• Monitor and improve AI systems using performance metrics, A/B testing, and optimization techniques
• Research and evaluate emerging AI technologies and assess their impact on business transformation
• Drive knowledge sharing and AI adoption across the organization

About the project

This is how we organize our work

Development opportunities we offer

• assistance in preparation to public speeches
• conferences abroad
• conferences in Poland
• development budget
• external training
• industry-specific e-learning platforms
• intracompany training
• soft skills training
• substantive support from technological leaders
• support of IT events
• technical knowledge exchange within the company
• time for development of your ideas

What we offer

• Work in a supportive team of passionate enthusiasts of AI & Big Data.
• Engage with top-tier global enterprises and cutting-edge startups on international projects.
• Enjoy flexible work arrangements, allowing you to work remotely or from modern offices and coworking spaces.
• Accelerate your professional growth through career paths, knowledge-sharing initiatives, language classes, and sponsored training or conferences, including a partnership with Databricks, which offers industry-leading training materials and certifications.
• Choose your preferred form of cooperation - B2B or a contract of mandate - and enjoy 20 fully paid days off.
• Participate in team-building events and utilize the integration budget.
• Celebrate work anniversaries, birthdays, and milestones.
• Access medical and sports packages, eye care, and well-being support services, including psychotherapy and coaching.
• Get full work equipment for optimal productivity, including a laptop and other necessary devices.
• With our backing, you can boost your personal brand by speaking at conferences, writing for our blog, or participating in meetups.
• Experience a smooth onboarding with a dedicated buddy, and start your journey in our friendly, supportive, and autonomous culture.

Benefits

• sharing the costs of sports activities
• private medical care
• sharing the costs of foreign language classes
• sharing the costs of professional training & courses
• remote work opportunities
• flexible working time
• fruits
• integration events
• no dress code
• video games at work
• coffee / tea
• drinks
• christmas gifts
• birthday celebration
• employee referral program
• charity initiatives
• Reimbursement for prescription glasses or contact lenses

Recruitment stages

• 1.
  Let's get to know each other (45 min)
• 2.
  Technical Interview (1,5 h)
• 3.
  Management Interview (1 h)

Addepto