Project Role : Cloud Platform Architect
Project Role Description : Oversee application architecture and deployment in cloud platform environments - including public cloud, private cloud and hybrid cloud. This can include cloud adoption plans, cloud application design, and cloud management and monitoring.
Must have skills : Cloud Automation DevOps
Good to have skills : NA
Minimum 15 year(s) of experience is required
Educational Qualification : 15 years full time education

Summary:
We are building production-grade agentic AI systems that plan, reason and act across enterprise tools and cloud environments. As an Agentic AI Solution Specialist, you will design, build and deploy single-agent and multi-agent solutions, integrate them with APIs and enterprise tooling, and run them reliably across multi-cloud infrastructure. This is a hands-on engineering and solutioning role for someone who is equally comfortable with agent frameworks, Python, and the cloud infrastructure underneath.
What you will do
Design and develop single-agent and multi-agent solutions, covering orchestration, task decomposition, memory, tool use and guardrails
Take agentic solutions from proof of concept to production deployment, including testing, observability, evaluation and cost control
Integrate agents with REST/GraphQL APIs, native platform capabilities and third-party tools and connectors
Architect cloud-native and externally hosted agentic solutions, and advise on the right pattern for each use case




Work with infrastructure, platform and security teams on deployment topology, networking and access controls
Partner with business and delivery stakeholders to translate process pain points into agentic automation opportunities
Document reference architectures, reusable components and implementation standards
Mandatory skills
Hands-on experience with agentic AI tools, platforms and technologies (any or all of the current ecosystem, for example LangChain/LangGraph, AutoGen, CrewAI, Semantic Kernel, MCP-based tooling, AWS Bedrock Agents, Azure AI Foundry Agent Service, Google Vertex AI Agent Builder)
Proven experience developing single-agent and multi-agent systems
Exposure to implementing and operationalizing single-agent and multi-agent solutions
Exposure to integrating agentic solutions with APIs, native capabilities and third-party tools
Solid Python 3 experience for developing and implementing agentic AI solutions
Expertise working in multi-cloud environments (AWS, Azure, GCP)
Exposure to infrastructure fundamentals across IaaS, PaaS and networking
Exposure to cloud-native and external agentic solution design
Good to have
Agentic AI or Generative AI certification
Professional-level cloud certification (AWS, Azure or GCP)
Professional-level infrastructure, data or DevOps certification
Experience
X + years of industry experience in Automation, DevOps or AI solutioning and implementation

15 years full time education

📌 Cloud Platform Architect (Bengaluru)
🏢 Accenture
📍 Bengaluru