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AI Solution Lead AI Architect

Role overview

Qualifications

  • Strong STEM background with experience delivering enterprise AI or ML solutions
  • Proven hands-on delivery in Generative AI, preferably within Azure ecosystems
  • Deep understanding of RAG patterns, embeddings, prompting, and LLM reasoning flows
  • Experience leading technical teams and coordinating multi-stream AI programmes

Responsibilities

  • Lead the design and delivery of multiple Generative AI use cases
  • Define end-to-end architecture for RAG systems (embeddings, chunking, retrieval, orchestration)
  • Guide cross-functional teams including data scientists, ML engineers, and backend teams
  • Shape guardrails, evaluation logic, metrics, and enterprise AI controls

About the company

Madiff logo

Madiff

We are an international Innovation, IT and high-tech engineering consulting company that delivers unique value in a wide variety of industries. Our mission is to add value to our customers businesses by providing digital and technological innovation services, delivering disruptive results and making our clients stand out in their market. We are driven by a creative and innovative consulting approach strongly oriented to getting results. We MAKE THE DIFFERENCE. Poland | UK | Switzerland | USA | Norway | Portugal | Spain | France | Singapore Warsaw Prosta 20 Wrocław Rybacka 7 Lublin Grottgera 2

Company details

Company size51 - 200

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Job description

This is a remote position.

We are looking for a AI Solution Lead AI Architect to anchor several strategic Generative AI initiatives. This role guides architecture, delivery, and quality across conversational AI, document intelligence, RAG-based enterprise search, and natural language data interfaces. The position requires strong hands-on GenAI experience, architectural leadership, and the ability to align engineering, data science, and business stakeholders.  

Responsibilities

  • Lead the design and delivery of multiple Generative AI use cases
  • Define end-to-end architecture for RAG systems (embeddings, chunking, retrieval, orchestration)
  • Guide cross-functional teams including data scientists, ML engineers, and backend teams
  • Shape guardrails, evaluation logic, metrics, and enterprise AI controls
  • Provide architectural leadership for voice assistants (TTS/STT + LLM reasoning), document intelligence, and NL-to-SQL assistants
  • Collaborate with business stakeholders to align scope, outcomes, and delivery expectations
  • Support onsite workshops and architectural reviews when required
  • Ensure solutions meet standards for performance, compliance, security, and maintainability


Requirements

  • Strong STEM background with experience delivering enterprise AI or ML solutions
  • Proven hands-on delivery in Generative AI, preferably within Azure ecosystems
  • Deep understanding of RAG patterns, embeddings, prompting, and LLM reasoning flows
  • Experience leading technical teams and coordinating multi-stream AI programmes
  • Strong communication skills and ability to influence senior stakeholders
  • Ability to translate business needs into scalable AI architectures and execution plans

Nice to have

  • Familiarity with LLM orchestration frameworks and enterprise AI governance
  • Exposure to TTS/STT technologies for conversational assistants
  • Experience with natural language interfaces and conversational analytics
  • Understanding of AI evaluation frameworks and operational guardrails


Benefits

  • Solid, competitive salary
  • Work in multinational environment on international projects
  • Comprehensive healthcare
  • Long-term B2B contract with stable project pipeline
  • Fully remote model


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MR

Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
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