Job description
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
This job post has been translated by AI and may contain minor differences or errors.
