The role is based in Madrid or Barcelona in a hybrid work model, combining remote days with on-site collaboration to create meaningful synergies with your team. It is essential to reside in Spain and have a valid work permit. This position requires up to 50% travel to client sites.
Design and implement enterprise-ready AI agents and orchestrated workflows using cloud-native architectures.
Develop abstraction layers for multi-provider AI platforms (OpenAI, Anthropic, Google Vertex AI) ensuring seamless integration.
Build and deploy containerized microservices and serverless components leveraging Kubernetes, Docker, and CI/CD pipelines.
Collaborate with clients in workshops and POCs to align technical solutions with business objectives
Responsibilities
- Architect and engineer agentic solutions including orchestration, retrieval, policy routing, and lifecycle observability.
- Apply Infrastructure as Code (Terraform, Helm) and monitoring tools for production deployments.
- Prototype innovative AI-native systems blending technical rigor with human-centered design.
- Define evaluation metrics and implement test harnesses for accuracy, latency, and cost optimization.
- Responsibilities
- Architect and engineer agentic solutions including orchestration, retrieval, policy routing, and lifecycle observability.
- Apply Infrastructure as Code (Terraform, Helm) and monitoring tools for production deployments.
- Prototype innovative AI-native systems blending technical rigor with human-centered design.
- Define evaluation metrics and implement test harnesses for accuracy, latency, and cost optimization.
Minimum experience
- 3-5 years of experience in cloud-native engineering (APIs, microservices, containerization, serverless).
- Strong programming skills in Python, Java, or C#; familiarity with logging, monitoring, and observability frameworks.
- Expertise in AI platforms and orchestration frameworks; experience with RAG and context engineering.
- Excellent communication skills to lead design sessions and manage stakeholder alignment.
- Bachelor´s degree in Computer Science, Engineering, or equivalent; AI certifications are a plus.
Benefits
At Accenture, recognized as a Great Place To Work®, we embrace a hybrid work model that fosters human connection and collaboration. We are proud to be ranked by Refinitiv as the most diverse company in the world.
Additional benefits include:
- Health, life, and accident insurance
- Medical services and wellness programs
- Flexible compensation and stock purchase plans
- Flexibility programs (working hours, time off, vacations)
- Individualized training itinerary
- Sustainability programs and Accenture Foundation initiatives
- Diversity employee networks
- Other perks: Bankinter office with special conditions and profit sharing
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