Principal Agentic Ai Transformation Lead - Hands On - Sevilla

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

Ventajas ofrecidas por este puesto de trabajo

Insurance

Medical services

Flexible compensation

Flexible time off

Personalized training paths

Sustainability programs

Accenture Foundation

Descripción de la vacante

Accenture seeks a senior AI/ML engineer to design and deploy intelligent agents, guiding architecture and production deployments. You will build memory-enabled systems, integrate with ServiceNow, Salesforce, SAP, and other enterprise tools, and drive end-to-end prototyping from model tuning to UI integration.

You will work with clients to translate business goals into working code, apply AgentOps and MLOps, and contribute reusable patterns and accelerators to accelerate cross-client adoption.

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.

Responsabilidades

• Design and deploy intelligent agents that transform operations for clients.
• Build memory-enabled agent systems with memory types (episodic, semantic, procedural).
• Integrate agents with enterprise APIs and major SaaS tools (ServiceNow, Salesforce, SAP).
• Develop end-to-end prototypes and production systems from model tuning to backend/UI integration.
• Apply AgentOps and MLOps for secure, observable deployments.
• Collaborate with clients to translate business goals into working code and measurable outcomes.
• Codify patterns and accelerators to support cross-client adoption.

Conocimientos

Python

API integration

Generative AI

Memory systems

Vector databases

Knowledge graphs

RAG pipelines

Orchestration frameworks

Multi-agent coordination

Delivery to exec

Educación

Bachelor’s or Master’s in CS/Engineering

Herramientas

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