Lead AI Architect

Full-time IT & Technology

Responsibilities

• Design and implement real‑world agentic AI systems using modern agent frameworks and orchestration tools.
• Develop agentic workflows that go beyond chat, including complex analytical pipelines, multi‑step research workflows, tool‑using agents, knowledge‑grounded agents, and structured decision‑support systems.
• Work with knowledge‑based AI architectures, including retrieval‑augmented generation, knowledge graphs, symbolic rules, structured domain models, ontologies, and hybrid reasoning systems.
• Develop and apply mechanisms for controlling inference, including planning constraints, reasoning policies, guardrails, validation layers, tool‑use control, and human‑in‑the‑loop checkpoints.
• Explore and implement neuro‑symbolic approaches for agentic reasoning, combining LLM‑based reasoning with symbolic, rule‑based, graph‑based, or formally structured methods.
• Build transparent AI methods that make agent behaviour...