Principal Architect- Agentic AI (Deep-Tech R&D)

Role Purpose

The deep-tech authority and the BU's autonomy engine — drives novel agentic-AI R&D, reference architectures and the IP moat that compounds toward autonomous delivery.

$$ Target — Revenue & Value Mandate

Reusable agents / reference architectures / eval frameworks created; IP reuse value; technical moat. Monetised through accelerator reuse across the portfolio.

Core Responsibilities

• Drive novel agentic-AI R&D and the deep-tech agenda

• Create reference architectures and eval frameworks

• Own the autonomy roadmap

• Hand deep-tech IP to CoE and the pods

• Hold the Anthropic technical peer relationship

Ownership Boundaries — Owns

• Deep-tech R&D agenda, reference architectures and eval frameworks

• The autonomy roadmap

Ownership Boundaries — Does Not Own

• Delivery throughput (FDE / CoE)

• Account P&L (LoB)

Required Capabilities

• Distinguished-level agentic-AI / LLM R&D

• Eval / guardrails depth

• Frontier-AI peer credibility

Preferred Capabilities

• Published research / patents

• Anthropic-stack mastery