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, Application Programming Interface (API) Security, API Testing
Good to have skills : NA
Minimum 15 year(s) of experience is required
Educational Qualification : 15 years full time education

Summary:
We are looking for an experienced Technical Lead – Tool Registry & Enterprise Integrations to lead, the platform team responsible for enabling secure, scalable, and governed integrations between AI agents and enterprise applications. In this role, you will design and own the Tool Registry, the centralized framework through which AI agents securely discover, access, and invoke enterprise systems such as SAP, ServiceNow, Ariba, and other business applications.
As the technical leader for this role, you will drive the architecture for enterprise integrations, establish governance standards, build secure API execution frameworks, and lead a team responsible for developing reliable, high-performance integrations that power enterprise AI solutions.

Roles & Responsibilities:

- Lead the architecture, design, and implementation of the enterprise Tool Registry, providing a centralized catalog and execution framework for AI agent integrations.
- Design and develop scalable capabilities for tool registration, discovery, authorization, credential management, invocation, monitoring, audit logging, rate limiting, and fault tolerance.
- Build secure integration frameworks that enable AI agents to interact with enterprise applications such as SAP, ServiceNow, Ariba, and other internal and third-party systems.




- Define enterprise standards and governance for onboarding, registering, and managing tools across the AI platform.
- Design and implement approval workflows for integrations and tools that require business or human review before execution.
- Establish comprehensive integration testing frameworks to validate functionality, reliability, security, and performance across enterprise systems.
- Collaborate closely with Enterprise IT, Security, Architecture, and Platform Engineering teams to ensure seamless, compliant, and secure system integrations.
- Lead and mentor a team of Enterprise Integration Engineers, API Gateway Engineers, and Integration Test Engineers while driving engineering best practices and technical excellence.
- Design resilient integration patterns using API gateways, service mesh architectures, retries, circuit breakers, and observability frameworks.
- Ensure enterprise-grade security, authentication, authorization, compliance, scalability, and operational reliability across all integration services.
- Drive architectural reviews, technology decisions, and continuous improvements for the enterprise integration platform.

Professional & Technical Skills:

- 12–15 years of experience in software engineering, with significant expertise in enterprise system integration and distributed application architecture.
- Strong experience building and managing production integrations with enterprise platforms such as SAP, ServiceNow, Ariba, Salesforce, Oracle, or similar enterprise applications.




- Hands-on expertise in API design, RESTful services, API gateways (Apigee, Kong, Azure API Management, MuleSoft, etc.), and service-oriented or microservices architectures.
- Deep understanding of enterprise authentication and authorization mechanisms, including OAuth 2.0, OpenID Connect (OIDC), SAML, JWT, API keys, and secure credential management.
- Experience designing resilient distributed systems using patterns such as circuit breakers, retries, rate limiting, service discovery, and fault tolerance.
- Strong knowledge of integration middleware, messaging platforms, and asynchronous communication technologies such as Kafka, RabbitMQ, or Azure Service Bus.
- Experience implementing audit logging, monitoring, observability, and governance for enterprise integrations.
- Solid understanding of cloud-native architectures and enterprise integration patterns across Azure, AWS, or Google Cloud.
- Proven experience leading technical teams, mentoring engineers, and collaborating with cross-functional business and IT stakeholders.
- Excellent problem-solving, communication, and stakeholder management skills with the ability to drive large-scale integration initiatives.

Additional Information:

- 12–15 years
- Technical Lead – Tool Registry & Enterprise Integrations (Pod 4)
- Reporting To: Engineering Manager – Data & Integration
- Location: Bangalore (Flexible)
- Experience with AI platforms, Agentic AI, Large Language Models (LLMs), Model Context Protocol (MCP), or enterprise AI orchestration frameworks will be an added advantage.
- Familiarity with DevSecOps practices, CI/CD pipelines, infrastructure automation, and cloud security is preferred.
- Candidates with experience designing enterprise integration platforms, API management solutions, or large-scale digital transformation programs are highly preferred.

15 years full time education

📌 AI Infrastructure Architect (India)
🏢 Accenture
📍 India