Principal Agentic Ai Transformation Lead - Hands On - Accenture

OverviewIn this role, you design and deploy intelligent agents that transform organizational operations and scale enterprise platforms.You work hands-on while guiding strategic architecture to support enterprise adoption and governance.You’ll build memory-enabled agent systems, integrate with major enterprise tools, and drive end-to-end prototyping and production deployments.The role blends engineering execution with customer-facing impacts, shaping agentic AI capabilities across clients.Compensaciones / BeneficiosHealth, life and accident insuranceMedical services and wellness programsFlexible compensation and stock purchase plansFlexibility programs (working hours, time off, vacation)Personalized training pathsSustainability programs and Accenture FoundationResponsabilidadesImplement memory systems (episodic, semantic, procedural, long-term) using vector databases, knowledge graphs, and RAG pipelinesIntegrate agents with enterprise APIs, SaaS tools (ServiceNow, Salesforce, SAP, etc.) and multi-source data layersDevelop end-to-end prototypes and production systems from model tuning to backend and UI integrationApply AgentOps and MLOps: versioning, evaluation, observability, security, and guardrails for reliable deploymentDefine agentic architectures and reusable components to accelerate cross-client adoptionCollaborate with clients to translate business goals into working code and measurable outcomesContribute to engineering community by codifying patterns, frameworks, and acceleratorsRequisitos principales5+ years in AI/ML or software engineering with client-facing experience2+ years in Generative AI, 1+ year building/deploying agentic or multi-agent systemsStrong coding skills in Python and/or JavaScript/TypeScriptProven API integration experience, RAG pipelines, vector databases, embeddings, and orchestration frameworksUnderstanding of memory engineering, data layer design, and multi-agent coordinationKnowledge of security, Responsible AI, and enterprise-scale scalabilityStrong communication and delivery skills with both technical and executive audiencesBachelor’s or Master’s degree in Computer Science, Engineering, or related fieldstrong communicationclient-facing collaborationdelivery orientationPythonJavaScript/TypeScriptAPI integration

Requisitos principales5+ years in AI/ML or software engineering with client-facing experience 2+ years in Generative AI, 1+ year building/deploying agentic or multi-agent systems Strong coding skills in Python and/or JavaScript/TypeScript Proven API integration experience, RAG pipelines, vector databases, embeddings, and orchestration frameworks Understanding of memory engineering, data layer design, and multi-agent coordination Knowledge of security, Responsible AI, and enterprise-scale scalability Strong communication and delivery skills with both technical and executive audiences Bachelor’s or Master’s degree in Computer Science, Engineering, or related field strong communication client-facing collaboration delivery orientation Python JavaScript/TypeScript API integration