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 : AI Agents & Workflow Integration

Positive to have skills : NA

Minimum 7.5 year(s) of experience is required

Educational Qualification : 15 years full time education

Summary:

The Agentic Manager is responsible for end-to-end design, development, and operationalization of Agentic AI solutions for Infrastructure Managed Services. This role requires deep hands-on expertise across agentic frameworks, automation, AI integration, and infrastructure domains (Data Center, Cloud, Network, Compute, Storage etc). Collaboration with various teams to align infrastructure capabilities with project goals is a key aspect of daily activities.

Roles & Responsibilities:





-Agentic AI Engineering (Primary Accountability)

-Design and implement agentic AI solutions addressing infrastructure operations use cases

-Build single-agent and multi-agent systems using planner–executor, tool-using, and reflection patterns.

-Develop reusable agent frameworks, tools, and workflows aligned with enterprise standards.

-Infrastructure Domain Ownership

-Posses strong Infrastructure Managed Services expertise

-Act as a technical domain specialist for infra-focused agentic solutions.

-Platform & Tool Integration

-Integrate agents with enterprise platforms including:

-ITSM tools (ServiceNow – Incident, Change, CMDB)

-Monitoring & observability tools (SCOM, Dynatrace, AppDynamics, Prometheus, Grafana)

-Automation platforms (Rundeck, Ansible, Terraform)

-Develop secure Python-based tools and APIs that agents can reliably invoke.

-LLM & Agent Framework Implementation

-Work hands-on with LLMs in a model-provi

📌 AI Agents (Pune)
🏢 Accenture
📍 Pune