Distinguished Engineer — Agentic AI (Deep-Tech R&D) (Ontario)

Distinguished Engineer — Agentic AI (Deep-Tech R&D) (Ontario)

21 Aug
|
HCLTech
|
Ontario

21 Aug

HCLTech

Ontario

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

📌 Distinguished Engineer — Agentic AI (Deep-Tech R&D) (Ontario)
🏢 HCLTech
📍 Ontario

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