Architect of AI solutions

· Deep understanding of the AI/ML ecosystem, including modern generative artificial intelligence capabilities (Generative AI), large language models (LLM), and frameworks for developing AI agents.

·       Proven experience in designing RAG systems (Retrieval-Augmented Generation), integration with vector databases and creation of complex automation processes.

·       Proven ability to transform abstract business tasks into scalable AI solution architectures.

·       Excellent skills in explaining complex technical concepts to non-technical stakeholders and senior managers (Executive Leadership).

·       Practical experience working with leading cloud platforms such as AWS, Azure or GCP.

·       The confident experience of conducting an assessment "to develop independently or use a ready-made solution" (build vs. purchase assessment) and the formation of technical road maps (technical roadmaps).

·       Conduct technical discovery sessions and workshops to identify business goals, problem areas, and technical constraints.

·       Transform customer requirements into detailed AI solution designs, including architecture, implementation approaches, and integration strategies.

·       Select optimal AI technologies, LLM (large language models), platforms and tools depending on specific business objectives.

·       Evaluate whether requirements should be implemented using existing platforms or developed individually. AI solutions.

·       Prepare detailed technical documentation, architectural proposals, and accurate estimates of labor costs for development teams.

·       Interact with engineering, product, and delivery teams, ensuring a successful transition from the design stage to the implementation of the solution.

·       Participate in pre-sales activities and technical presentations, demonstrating the advantages of the proposed AI solution architectures to potential customers.

·       Maintain an expert level of knowledge about current trends in generative artificial intelligence (GenAI), RAG (Retrieval-Augmented Generation), vector databases, and automation.

• Full-time, official employment
• Flexible work format: office, remote or hybrid
• Private health insurance
• Paid vacation/sick days
• Access to internal and external educational platforms
• Working equipment
• Referral program with a bonus for recommendations from friends and former colleagues