Principal Agentic Ai Transformation Lead - Hands On

Accenture; Zaragoza; Presencial; EUR 70.000 - 110.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Health, life and accident insurance

Medical services and wellness programs

Flexible compensation and stock buy

Flexibility programs (working hours,时间

Personalized training paths

Sustainability programs and Accenture 

Descripción de la vacante

Accenture in Spain seeks an experienced AI/ML engineer to design and deploy intelligent agents that transform enterprise operations and scale platforms. You'll work hands-on while guiding architecture to support adoption and governance across clients.

You will build memory-enabled agents, integrate with enterprise APIs and tools, and drive end-to-end prototyping to production deployments, applying AgentOps and MLOps for secure, observable systems.

Formación

• 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 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.

Responsabilidades

• Design and deploy intelligent agents that transform organizational operations and scale enterprise platforms.
• Work hands-on while guiding strategic architecture to support enterprise adoption and governance.
• Build memory-enabled agent systems and integrate with major enterprise tools.
• Drive end-to-end prototyping and production deployments.
• Collaborate with clients to translate business goals into working code and measurable outcomes.
• Contribute to engineering community by codifying patterns and accelerators.

Conocimientos

Python

API integration

Strong communication

Delivery orientation

Client-facing experience

Generative AI

Memory engineering understanding

Educación

Bachelor’s or Master’s degree in Computer Science, Engineering, or related field

Herramientas

RAG pipelines

vector databases

embeddings

orchestration frameworks

ServiceNow

Salesforce

SAP

Descripción del empleo

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 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