Principal Agentic Ai Transformation Lead - Hands On - Sevilla

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 insurance
• Medical services and wellness programs
• Flexible compensation and stock purchase plans
• Flexibility programs (working hours, time off, vacation)
• Personalized training paths
• Sustainability programs and Accenture Foundation
• Implement memory systems (episodic, semantic, procedural, long-term) using vector databases, knowledge graphs, and RAG pipelines
• Integrate agents with enterprise APIs, SaaS tools (ServiceNow, Salesforce, SAP, etc.) and multi-source data layers
• Develop end-to-end prototypes and production systems from model tuning to backend and UI integration
• Apply AgentOps and MLOps: versioning, evaluation, observability, security, and guardrails for reliable deployment
• Define agentic architectures and reusable components to accelerate cross-client adoption
• Collaborate with clients to translate business goals into working code and measurable outcomes
• Contribute to engineering community by codifying patterns, frameworks, and accelerators
• 5+ 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
• Proven xcskxlj 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
• delivery orientation
• Python
• API integration

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