Found Description
We are looking for a highly skilled and hands-on AI Architect to design and lead the implementation of multi-agent (agentic) systems in enterprise environments.
This is not a prompt engineering or chatbot role.
We are focused on building production-grade AI systems, where multiple agents collaborate, reason, and execute complex workflows integrated with real business processes.Key Responsibilities- Design multi-agent architectures (task decomposition, orchestration, coordination patterns) - Define how LLM-powered agents interact with: - Enterprise data platforms - APIs and tools - Operational workflows - Lead agentic systems from PoC to production with model, cost, security, privacy, and responsible AI guardrails - Establish observability, tracing, feedback loops, and controls for agent behavior - Define memory strategies (short-term, long-term, contextual grounding) - Collaborate with data, platform, and engineering teams to integrate AI into core systems - Guide and train ...