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
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.
15 years full time education
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.
15 years full time education
About Accenture
Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.Visit us at www.accenture.com
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