3 days ago
Mumbai, IndiaSenior
Responsibilities
- Design, develop, and deploy production-grade multi-agent systems and agentic workflows using Gemini Enterprise and Google ADK.
- Choose between pro-code and no-code approaches and build custom agents using the Agent Development Kit and Agent Platform AI Reasoning Engine.
- Integrate agents with Google Workspace, NotebookLM, third-party SaaS platforms, and enterprise data sources.
- Architect session storage, conversation-state persistence, long-term memory, authentication, authorization, ACLs, and data-governance controls.
- Build CI/CD pipelines for agent deployment, testing, regression evaluation, and containerization.
- Implement human-in-the-loop workflows, advanced reasoning patterns, and quantitative agent evaluation frameworks.
- Collaborate with client engineering and architecture teams to deploy, validate, and operationalize enterprise agentic AI solutions.
Requirements
- At least 3 years of professional experience is required, with at least 5 years of experience in Large Language Models (LLMs) stated as an additional requirement.
- 15 years of full-time education is required.
- Strong proficiency in Python and production-level software engineering practices.
- Hands-on experience building multi-agent systems with Google ADK or comparable agentic frameworks.
- Experience with Gemini Enterprise, NotebookLM, Google Workspace APIs, add-ons, and Drive/Docs connectors.
- Expertise in agent session state, context caching, durable memory backends, vector databases, and relational or NoSQL session stores.
- Experience with MCP Connectors and enterprise platforms such as iManage, NetDocuments, Relativity, DocuSign, Microsoft Office Suite, SharePoint, and Jira.
- Understanding of IAM, OAuth 2.0, OIDC, service accounts, Workload Identity Federation, Microsoft Entra ID, Salesforce, and Atlassian integrations.
- Knowledge of ACLs, identity federation, permission trimming, and role-based access control across heterogeneous data sources.
- Proficiency with Agent CLI and Antigravity for simulation, debugging, prompt engineering, and execution-graph tracing.
- Experience configuring CI/CD pipelines with Cloud Build and GitHub Actions.
- Knowledge of AI evaluation methodologies, trajectory analysis, and root cause analysis of agent failures and prompt regressions.
- Strong technical communication, consulting, client-collaboration, and Agile-environment skills.
Benefits
- The position is based at the company's Mumbai office.
Tech Stack
Categories
About Accenture
Accenture is a global professional services firm providing management consulting, systems integration and technology, cybersecurity, and business process outsourcing for enterprises and governments. It operates a services-driven model delivering projects and managed services, often with major cloud and software partners, across industries worldwide. Headquartered in Dublin and publicly traded on the NYSE (ACN), it originated as Andersen Consulting and adopted the Accenture name in 2001.