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
Good 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-provider-agnostic manner.
-Implement agent capabilities using frameworks such as LangChain / LangGraph, AutoGen / CrewAI (or similar)
-Manage Memory and context optimization, and cost, latency, and reliability trade-offs
-Security, Governance & Reliability
-Ensure agent solutions comply with Enterprise security standards
-Implement Human-in-the-loop controls, Guardrails and Failure handling and rollback mechanisms
-Delivery & Stakeholder Collaboration
-Independently own delivery of assigned agentic use cases.
-Collaborate with Infrastructure SMEs, Platform and automation teams, and Architecture and governance teams
-Produce clear technical documentation.
Professional & Technical Skills:
- Must Have Skills: Proficiency in AI Agents & Workflow Integration.
- Python (advanced) – automation, APIs, async workflows
-REST APIs, authentication mechanisms, JSON
-Strong knowledge of Data Center and Cloud administration, as well as Monitoring, Observability and ITSM platforms.
-Experience building agent-based systems (beyond chatbots)
-Strong understanding of Context and memory management
-Experience with AIOps or auto-remediation platforms
-Exposure to MCP
Additional Information:
- The candidate should have minimum 7.5 years of experience in AI Agents & Workflow Integration.
- This position is based at our Pune/Bengaluru office.
- A 15 years full time education is required.
Pune
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