AI Infrastructure Architect

• *Project Role :** AI Infrastructure Architect

• *Project Role Description :** Architect and build custom Artificial Intelligence (AI) infrastructure/hardware solutions. Optimize AI infrastructure/hardware performance, power consumption, cost and scalability of computational stack. Advise on AI infrastructure technology and vendor evaluation, selection and full stack integration.

• *Must have skills :** API Management, API Testing, API Security

• *Good to have skills :** NA

Minimum **15** year(s) of experience is required

• *Educational Qualification :** 15 years full time education

Summary

Pod: Pod 4 — Tool Registry \& Integrations

Reports to: Engineering Manager, Data \& Integration (EM2\)

Experience: 12–15 years

Location: Bangalore / US (flexible)

ROLE OVERVIEW

This is the tech lead role for Pod 4, the layer that connects every agent on the platform to Accenture's enterprise systems. You will design and own the ToolRegistry — the governed catalogue and execution layer through which agents invoke SAP, ServiceNow, Ariba, and any other enterprise system.

Roles \& Responsibilities

Design and own the ToolRegistry implementation — tool cataloguing, agent authorization checks, credential resolution, rate limiting, circuit breakers, and invocation audit logging

Lead Pod 4's three enterprise integration engineers, API gateway engineer, and integration test engineer

Own the technical relationship with IT for all enterprise system integrations

Define the tool registration standard

Design the approval workflow engine for tools requiring human review

Establish the integration testing framework

IDEAL PROFILE

Has built and owned production integrations with SAP, ServiceNow, or equivalent enterprise systems has designed API gateway or service mesh patterns at scale understands enterprise auth deeply has led a technical team

15 years full time education