Candidates must possess significant experience (3+ years) in data & automation solution architecture, with proven successes focused on Generative AI and/or Agentic AI solutions., Proven experience in leading solution design for generative technologies, including effort estimation, pricing, and business case presentations for clients, is essential., Deep hands-on expertise with Microsoft Azure AI services, particularly Azure AI Foundry, Azure AI Agent Service, Microsoft Copilot Studio, and Semantic Kernel, is required., Strong experience in opportunity identification for transformation, automation, and AI within enterprise environments is also necessary., A working knowledge of cloud architectures (AWS, GCP, Azure), enterprise integration patterns, and DevOps practices is expected., Strong grasp of advanced AI concepts, including multi-agent workflows, reasoning & decision engines, and autonomous agent design, is critical., Prior knowledge of Power Platform is a significant value add., Knowledge of Model Context Protocol (MCP) and Agent-to-Agent (A2A) protocols is highly desirable., Experience with rapid prototyping of Generative and Agentic AI solutions would be beneficial., Familiarity with Microsoft, SAP, and Oracle suites and their integration with AI is a plus., Experience with AI safety testing frameworks is valuable., A consulting background or prior experience in a client-facing technical specialist role would be advantageous.

access to courses e.g. Excel, VBA, RPA, Customer Care, unlimited access to Udemy Business, free chat/call with a therapist, sharing the costs of sports activities, private medical care, life insurance, no dress code, parking space for employees, extra social benefits, redeployment package, employee referral program, charity initiatives