Enterprise AI Architecture Lead (Cross-Pod)

HCL Technologies Limited; Wisconsin; On-site; USD 180,000 - 250,000; Full time

Job summary

HCL Technologies Limited seeks an experienced Enterprise AI Architect to own the reference architecture for AI, data, and Physical AI across edge, plant, and cloud. You will set standards, maintain ADRs, and guide Pods to reuse shared capabilities while driving governance across the organization.

You will lead strategic build-vs-buy-vs-partner decisions for GPU, lakehouse, and MLOps tooling, ensuring scalable, secure, and production-ready solutions aligned with business goals.

Qualifications

• 15+ years in enterprise / solution architecture, platform engineering, or industrial technology leadership.
• Demonstrated ownership of enterprise-scale architectures spanning data platforms, ML / AI, and OT / IT integration.

Responsibilities

• Own and evolve the enterprise target-state reference architecture for AI, data, and Physical AI across edge, plant, and cloud.
• Define enterprise standards for data platforms, model serving, retrieval, agent orchestration, integration, and observability.
• Maintain ADRs and reference blueprints used by Pods, including AI, energy/yield optimization, and digital twin.
• Lead build-vs-buy-vs-partner decisions for GPU stacks, data lakehouse, MLOps/LLMOps tooling, and Physical AI platforms.
• Coordinate delivery Pod portfolios, dependencies, roadmaps, and risk; drive reuse through a shared catalog.
• Establish intake-to-production pathways with architecture reviews and production readiness criteria.
• Partner with Responsible AI to embed governance gates in the delivery pathway.
• Define AI-supporting data architectures and standards for MLOps/AgentOps.
• Own OT/IT convergence architecture, edge-to-cloud data flows, and reference Physical AI architectures.
• Chair Architecture Review Board and report health and reuse metrics to leadership.
• Mentor Pod architects to raise enterprise architectural maturity.

Job description

HCL Technologies Limited seeks an experienced Enterprise AI Architect to own the reference architecture for AI, data, and Physical AI across edge, plant, and cloud. You will set standards, maintain ADRs, and guide Pods to reuse shared capabilities while driving governance across the organization.

You will lead strategic build-vs-buy-vs-partner decisions for GPU, lakehouse, and MLOps tooling, ensuring scalable, secure, and production-ready solutions aligned with business goals.