Role at a glance
- Job function
-
AI & Data Generative AI Engineering
- Salary
- Not Disclosed
- Location
- Bengaluru
- Work arrangement
- On-site
- Employment
- Full-time
- Experience
- Minimum 12 year(s) of experience is required
- Education
- Educational Qualification : 15 years full time education
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Role Summary
Hands-on lead role building production AI agent platforms on the cloud, including agent orchestration, Model Context Protocol connections, a model gateway, memory, and an agent harness. The role leads a team of engineers and works directly with client technical teams to deliver quick improvements early. The position is based at the Bangalore office.
What You'll Do
- Build core agent platform parts: agent orchestration, MCP connections to client tools and data, model gateway with routing and fallback,...
- Deploy agents on managed cloud agent services and run them securely with the right identity and permissions
- Build the agent harness that handles tool calls, context, approvals, retries, and session state
- Set up infrastructure as code, CI/CD, and GitOps for agent releases
- Make the platform handle high volume, including autoscaling, queues, caching, rate-limit handling, and switching models or regions when...
- Run load and performance tests, find bottlenecks, and fix them
Generated from the employer's posting. Verify important details before applying.
View full postingQualifications
Requires 15 years of full-time education and at least 12 years of experience, with strong Python and cloud agent platform skills.
Required
- Minimum 12 year(s) of experience
- 15 years full time education
- Must have skill: Automation in Application Development
- Minimum 3 years of experience in Python
- Strong Python (async programming, FastAPI, APIs)
- Strong in one cloud (AWS, Azure, or GCP), with working knowledge of another
Original job description
Content provided by the employer
Original job description
Content provided by the employer
Project Role Description : Design and deliver technology architecture for a platform, product, or engagement. Define solutions to meet performance, capability, and scalability needs.
Must have skills : Automation in Application Development
Good to have skills : NA
Minimum 12 year(s) of experience is required
Educational Qualification : 15 years full time education
Summary: Hands-on lead who builds production AI agent platforms for clients on the cloud. You turn a design into a working platform that is fast, reliable, secure and cost-efficient. You will be responsible to build agents for custom/legacy technology like Java, Mainframe and platforms like SAP, Oracle, Workday as well. You lead a team of engineers and work directly with client technical teams to find quick improvements and deliver them early.
Roles & Responsibilities:
Build the core parts of an agent platform: agent orchestration, connections to client tools and data using the Model Context Protocol, a model gateway with routing and fallback, short and long-term memory, and tests that check agent quality
Deploy agents on managed cloud agent services and run them securely with the right identity and permissions
Build the agent harness: the layer that handles tool calls, context, approvals, retries and session state
Set up infrastructure as code, CI/CD and GitOps for agent releases
Make the platform handle high volume: autoscaling, queues, caching, rate-limit handling, and switching to another model or region when one is slow or down
Run load and performance tests, find bottlenecks and fix them
Set up tracing, metrics and cost tracking for every agent and tool call
Study the client's current setup, identify quick wins and deliver them in the first weeks
Keep client teams updated on progress and risks
Review code and designs coach and lead engineers.
Professional & Technical Skills:
Strong in one cloud, working knowledge of another
AWS: Bedrock AgentCore (Runtime, Gateway, Identity, Memory, Observability, harness), Bedrock, EKS, Lambda
Azure: Microsoft Foundry Agent Service (hosted agents), Azure OpenAI, AKS, Entra ID
GCP: Gemini Enterprise Agent Platform (Agent Runtime, Memory Bank, Agent Gateway, Agent Identity), Cloud Run, GKE
Strong Python (async programming, FastAPI, APIs)
Containers, Kubernetes, Terraform or CDK
CI/CD: GitHub Actions, Azure DevOps, Jenkins or similar
Messaging and caching: Kafka, SQS, Pub/Sub, Service Bus
OpenTelemetry, Prometheus, Grafana, cloud-native monitoring
Security basics: access control, secrets, private networking
Additional Information:
- The candidate should have minimum 3 years of experience in Python (Programming Language).
- This position is based at our Bangalore 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
Equal Employment Opportunity Statement
We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, military veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by applicable law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.
About the company
Accenture
Large Enterprise
Accenture is a global professional services company that specializes in providing consulting, technology, and outsourcing services. With a diverse range of industries served, including financial services, healthcare, and telecommunications, Accenture leverages advanced technologies and data analytics to help organizations improve their performance and drive innovation. Committed to sustainable progress, the company emphasizes its dedication to inclusivity, digital transformation, and building a more sustainable future for its clients and communities. With a presence in over 120 countries, Accenture is known for its expertise in integrating cutting-edge solutions that address complex business challenges.