AI Architect – Agentic Systems (LLM & Multi-Agent Solutions)
EndavaJob Description
📋 Description Design multi-agent architectures (task decomposition, orchestration) Define interaction of LLM-powered agents with enterprise data platforms Build AI systems integrated with APIs, tools and workflows Lead agentic systems from PoC to production with guardrails Establish observability, tracing, and controls for agent behavior Define memory strategies for short/long-term and context grounding 🎯 Requirements Strong software architecture and distributed systems background Hands-on LLM-based applications experience Designing complex workflows and orchestration Knowledge of LLM fundamentals, transformers, embeddings Experience with multi-agent frameworks (LangChain, Semantic Kernel, CrewAI) Cloud experience (AWS/Azure/GCP) and Python 🎁 Benefits Competitive salary, share plan and bonuses Career development and global opportunities Learning programs and internal training Hybrid work and flexible hours Global wellbeing program and wellness apps Inclusive, diverse community and events