At Accenture, we believe in technology is the engine for total business reinvention.
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We help clients, design and deploy agentic system, AI agents that plan, reason, and act with human oversight, unlocking new performance and business model in agentic economy.Join a Great Place To Work and join a team of over 775,000 professionals worldwide.Your MissionBe both a hands-on builder and a strategic leader, design code, and deploy intelligent agents that transform how organizations operate, while shaping scalable platforms and governance for enterprise adoption.Key responsibilities:Implement memory system (episodic, semantic, procedural, long-term) using vector databases, knowledge graphs, and RAG's Pipelines.Integrate agents with enterprise APIS, SaaS tools (Servicenow, Salesforce, SAP, etc..) and multi-source data layers (structured and unstructured).Develop end to end prototypes and production,



from model tuning to backend and UI integration.Apply AgentOps and MLOps: versioning, evaluation, observavility, security, and guardrails for reliable deployment.Define agentic architectures and reusable components and accelerate cross client adoptionCollaborate directly with clients, translante business goals into working code and measurable outcomes.Contribute to the engineering community by codifying patterns, frameworks, and acceletorsRequired skills and experience:5+ years in AI/ML or software engineering client facing experience.2+ years in Generative AI, 1+ year building and deploying agentic or multi-agent systemsStrong coding skills in Python and/or JavaScript/TypeScript.Proven experience in API integration, RAG's pipelines, vector databases, embeddings, and orchestration frameworks.Understanding of memory engineering, data layer design, and multi-agent coordination.Solid graps of security, Responsible AI, and enterprise-grade scalability.St

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