Director – Agentic AI

• Start-up team housed within a leading global consulting firm
• Work with world-class peer-level talent
• Globally recognised leadership at the bleeding edge of Agentic AI
• Stratospheric career growth

We’re hiring a deeply technical, hands-on Director of Agentic AI to lead the design, development, and deployment of advanced multi-agent systems that go far beyond prototypes and into robust, real-world production for large-scale enterprise and government.

This role requires an extremly high performing, ambitious individual, comfortable with high levels of ambiguity, a ferocious pace and rising client demand for Agentic AI solutions.

This individual will shape technical direction, define engineering standards, and remain actively involved in building next-generation AI systems.

You’ll work with world-class technical AI engineering teams to deliver solutions that drive meaningful impact across complex organisations and industries.

What You’ll Lead & Deliver

• Architect end-to-end multi-agent systems from scratch using frameworks such as ReAct, CoT loops, LangGraph, and MCP.
• Build and productionise agentic AI solutions with strong evaluation, observability, and orchestration.
• Scale deployments across diverse environments (SQL-based workflows, pandas, RAG pipelines, distributed compute).
• Define evaluation standards: Pass@N, multi-run testing, retriever benchmarking, component diagnostics, and quality gates.
• Lead client-facing engagements, delivering workshops, assessments, and adoption roadmaps.
• Provide technical leadership to engineering teams, ensuring delivery quality and driving adoption of new methods and tooling.
• Stay ahead of frontier innovation, experimenting with the latest LLM, orchestration, and agent-design research.

What You Bring

Required

• Advanced degree in AI, Computer Science, or similar (MSc/PhD).
• Several years of experience delivering agentic AI, ML, or AI engineering systems in production.
• Strong track record of leading complex technical delivery while remaining hands-on.
• Solid software engineering foundations: deployment, observability, monitoring, memory orchestration, optimisation.
• Familiarity with agentic architectures (ReAct, CoT loops, LangGraph, tool orchestration).
• Excellent communication skills with the ability to run workshops and shape technical direction.

Preferred

• Experience with PyTorch, TensorFlow, vector DBs, RAG, and distributed inference.
• Background in dynamic, high-performance environments (start-ups or technical consultancies).
• Exposure to regulated industries or complex stakeholder landscapes.
• Proactive mindset, comfortable driving work independently.

This is a rare opportunity to steer and shape a cutting-edge Agentic AI capability—designing and deploying systems that influence large-scale, real-world operations across multiple sectors.

You’ll join an ambitious, research- informed environment that encourages experimentation, technical excellence, and forward-thinking problem-solving.