AI Architect – Agentic Systems (LLM & Multi-Agent Solutions)
EndavaJob Description
📋 Description Design and lead multi-agent systems in enterprise environments. Not a prompt-engineering or chatbot role; focus on production AI. Design multi-agent architectures (task decomposition, coordination). Define how LLM-powered agents interact with enterprise data. APIs, tools, and operational workflows for agentic systems. Lead PoC to production with guardrails for model, cost, security and privacy. 🎯 Requirements Software architecture and distributed systems experience. Hands-on experience building complex LLM-based apps. Experience with multi-agent frameworks (LangChain, Semantic Kernel, CrewAI). LLM fundamentals and Transformer architecture knowledge. Experience integrating AI with enterprise systems (APIs, data platforms). Cloud experience (AWS, Azure, GCP). 🎁 Benefits Competitive salary, share plan, bonuses, and referral rewards. Career development: coaching, global opportunities, leadership programs. Learning: complex projects, training, certifications, coaching. Hybrid work and flexible hours; employee assistance program. Wellbeing program and wellbeing apps. Inclusive tech communities and events.