AI Software Engineer | Spain

You build the systems that actually make AI work in enterprise environments, not demos, not prototypes that stall after a pilot, but production agentic architectures running inside real client organizations. The difference between an AI Engineer and what we are looking for is straightforward: you have shipped a multi-agent system in production, you have owned the eval harness, and you know what happens when your agent fails at 2am because you have lived it.

As an AI Engineer (Agentic/Applied), you will design, build, and deploy production-grade agentic AI systems across the full enterprise technology stack. You will work directly with client engineering teams, lead technical design sessions, and build reusable patterns and accelerators that scale beyond individual engagements.

This role sits at the heart of the AI engineering talent market - demand is growing faster than supply and will continue to do so. We offer what no single product company can: breadth across every industry, every enterprise technology stack, and every level of organizational complexity, combined with vendor fellowship access inside Anthropic, OpenAI, Microsoft, and Google engineering teams and a direct pathway to the Forward Deployed Engineerprogramme.

• Diseñar y construir sistemas de agentes de nivel de producción de principio a fin: orquestación de múltiples agentes, canalizaciones RAG, enrutamiento basado en políticas, invocación de herramientas, gestión de memoria y observabilidad del ciclo de vida

• Construir y asumir la propiedad de canalizaciones RAG: incrustaciones, estrategia de fragmentación, búsqueda vectorial, ingeniería y ajuste de la ventana de contexto frente a objetivos de calidad reales

• Integrar y abstraer múltiples proveedores de LLM (OpenAI, Anthropic, Vertex AI y modelos de código abierto) con gestión de respaldo, enrutamiento de tokens, costos y latencia

• Implementar LLMOps en producción: métricas de evaluación con indicadores de calidad reales, versionado de indicaciones, herramientas de observabilidad (LangSmith, Braintrust o equivalente) y monitoreo de costos y seguridad

• Integrarse directamente con los equipos de ingeniería del cliente para diseñar, prototipar y desplegar soluciones de agentes: talleres, pruebas de concepto, sesiones de codificación conjunta y recorridos por la arquitectura

• Crear patrones, aceleradores y manuales reutilizables que escalen más allá del compromiso individual con el cliente y permitan que el siguiente arranque más rápido

• Definir y utilizar métricas para medir la precisión, la seguridad, la latencia y la rentabilidad de los agentes; presentar hallazgos y recomendaciones a las partes interesadas del cliente en términos comerciales

• Sólida experiencia en ingeniería de software en entornos de producción

• Experiencia práctica en el diseño y despliegue de soluciones de IA basadas en agentes en un entorno de producción: requisito innegociable

• Experiencia demostrada con marcos de orquestación de agentes: LangGraph, CrewAI, AutoGen o equivalente, a nivel de profundidad de producción, no de tutorial

• Experiencia directa en la invocación de API de LLM (OpenAI, Anthropic, Vertex AI) en código de producción: abstracción de proveedores, gestión de tokens, compensaciones entre latencia y costo

• Propiedad de canalizaciones RAG: incrustaciones, estrategia de fragmentación, bases de datos vectoriales e ingeniería de contexto

• Fundamentos de LLMOps: diseño de marcos de evaluación, versionado de indicaciones y observabilidad de producción

• Madurez en ingeniería nativa de la nube: Kubernetes, Docker, microservicios, serverless, CI/CD e IaC (Terraform o Helm)

• Dominio de Python; se acepta Java u otro lenguaje de backend equivalente; experiencia en depuración de producción y observabilidad

• La calidad de la experiencia pesa más que los años: se prefiere un candidato que haya lanzado tres sistemas de agentes de producción en cuatro años sobre un generalista con exposición pasiva a la IA

Accenture is a leading global professional services company that helps the world's leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services-creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world's leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.

Visit us atwww.accenture.com

We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability, military veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship, or any other legally protected status. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.

You build the systems that actually make AI work in enterprise environments, not demos, not prototypes that stall after a pilot, but production agentic architectures running inside real client organizations. The difference between an AI Engineer and what we are looking for is straightforward: you have shipped a multi-agent system in production, you have owned the eval harness, and you know what happens when your agent fails at 2am because you have lived it.

As an AI Engineer (Agentic/Applied), you will design, build, and deploy production-grade agentic AI systems across the full enterprise technology stack. You will work directly with client engineering teams, lead technical design sessions, and build reusable patterns and accelerators that scale beyond individual engagements.

This role sits at the heart of the AI engineering talent market - demand is growing faster than supply and will continue to do so. We offer what no single product company can: breadth across every industry, every enterprise technology stack, and every level of organizational complexity, combined with vendor fellowship access inside Anthropic, OpenAI, Microsoft, and Google engineering teams and a direct pathway to the Forward Deployed Engineerprogramme.

• Design and build production-grade agentic systems end-to-end: multi-agent orchestration, RAG pipelines, policy-based routing, tool invocation, memory management, and lifecycle observability

• Build and own RAG pipelines: embeddings, chunking strategy, vector search, context window engineering and tuning against real quality targets

• Integrate and abstract across multiple LLM providers - OpenAI, Anthropic, Vertex AI, and open-source models - with fallback routing, token, cost, and latency management

• ImplementLLMOpsin production: eval harnesses with real quality metrics, prompt versioning, observability tooling (LangSmith, Braintrust, or equivalent), cost and safety monitoring

• Embed directly with client engineering teams to design, prototype, and deploy agentic solutions - workshops, proofs of concept, code-with sessions, and architecture walkthroughs

• Build reusable patterns, accelerators, and playbooks that scale beyond the individual client engagement and enable the next one to start faster

• Define and use metrics to measure agent accuracy, latency, safety, and cost-effectiveness; present findings and recommendations to client stakeholders in business terms

• Strong software engineering experience in production environments

• Hands-on experience designing and deploying agentic AI solutions in a production environment - non-negotiable

• Demonstrated experience with agentic orchestration frameworks:LangGraph,CrewAI,AutoGen, or equivalent - at production depth, not tutorial level

• Direct experience calling LLM APIs (OpenAI, Anthropic, Vertex AI) in production code: provider abstraction, token management, latency and cost tradeoffs

• RAG pipeline ownership: embeddings, chunking strategy, vector databases, and context engineering

• LLMOpsfundamentals: eval harness design, prompt versioning, and production observability

• Cloud-native engineering maturity: Kubernetes, Docker, microservices, serverless, CI/CD, andIaC(Terraform or Helm)

• Strong Python; Java or equivalent backend language acceptable; production debugging and observability experience

• Quality of experience is weighted over years, a candidate who has shipped three production agentic systems in four years is preferred over a generalist with passive AI exposure

Accenture is a leading global professional services company that helps the world's leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services-creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world's leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.

Visit us atwww.accenture.com

Creemos que nadie debe ser discriminado por sus diferencias. Todas las decisiones de empleo se tomarán sin importar la edad, raza, credo, color, religión, sexo, origen nacional, ascendencia, discapacidad, condición de veterano militar, orientación sexual, identidad o expresión de género, información genética, estado civil, ciudadanía ni ningún otro criterio protegido por la legislación aplicable. Nuestra rica diversidad nos hace más innovadores, competitivos y creativos, lo que nos ayuda a servir mejor a nuestros clientes y comunidades.