AI Enterprise Technical Lead

Quick Facts

• Role: AI Enterprise Technical Lead for an enterprise AI program
• Focus: enterprise-grade AI platform on Microsoft Azure using LLMs, agentic workflows, RAG, and integrations

Description

Lead technical discovery and solution design for a secure, enterprise AI platform. Shape architecture for AI agents, orchestration, RAG/retrieval, Azure services, and enterprise integrations, while defining where LLMs/agents add value versus deterministic application logic. Translate outcomes into an implementation backlog and support delivery with hands-on engineering guidance.

Responsibilities

• Lead client-facing discovery and solution design, translating business workflows into scalable AI solutions
• Shape architecture across AI agents, orchestration, RAG/retrieval, Azure services, and enterprise integrations
• Define boundaries between AI/LLM capabilities and deterministic application logic
• Design agent workflows, context management, tool usage, and human-in-the-loop controls
• Design RAG and enterprise knowledge solutions using trusted sources
• Design integrations between AI workflows, APIs, and existing enterprise platforms
• Ensure security, identity/access, governance, observability, and auditability
• Convert discovery into technical scope and an actionable implementation backlog
• Lead engineers with hands-on guidance, code reviews, and support for complex decisions
• Establish AI evaluation, testing, and continuous improvement approaches

Requirements

• Strong commercial experience designing and delivering AI/GenAI solutions in enterprise environments
• Strong understanding of LLMs, agentic architectures, RAG, and workflow orchestration
• Hands-on experience building AI solutions and integrating them with application services and APIs
• Practical knowledge of Microsoft Azure and Azure AI services
• Strong understanding of software architecture, API design, and enterprise integration patterns
• Experience combining LLM-based capabilities with deterministic application logic
• Practical understanding of context engineering, retrieval, structured model outputs, and AI evaluation
• Understanding of security, identity and access, governance, and human oversight in enterprise AI solutions
• Proven experience leading technical discovery and solution design
• Experience providing technical leadership while remaining hands-on when needed
• Strong client-facing communication skills to explain complex technical decisions and trade-offs
• Fluency in English

Benefits

Net hourly rate for B2B cooperation: 220–280 PLN/hr, depending on skills and experience.