Principal Agentic Ai Transformation Lead - Hands On

In 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.Health, 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 FoundationImplement 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 accelerators5+ years in AI/ML or software engineering with client-facing experience2+ years in Generative AI, 1+ year building/deploying agentic or multi-agent systemsProven 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 communicationdelivery orientationPythonAPI integration#J-*****-Ljbffr

The role blends engineering execution with customer-facing impacts, shaping agentic AI capabilities across clients.Health, 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 FoundationImplement 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 accelerators5+ years in AI/ML or software engineering with client-facing experience2+ years in Generative AI, 1+ year building/deploying agentic or multi-agent systemsProven 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 communicationdelivery orientationPythonAPI integration #J-*****-Ljbffr