About the RoleA forward-thinking services company at the forefront of AI-native innovation.Our engineers embed deeply with customers, moving projects beyond experimentation into operational reality.An AI Native Engineer with experience building cloud-native solutions and deep expertise in designing and deploying agentic systems in enterprise environments will design, build and run custom AI agents that augment workflows and scale across modern infrastructure.ResponsibilitiesDesign and engineer enterprise‑ready AI agents encompassing retrieval, orchestration, policy‑based routing, tool invocation, evaluation harnesses and lifecycle observability.Develop abstraction layers across AI providers (Anthropic, Google, Open AI etc.) to enable seamless integration and enablement.Leverage containerization (Kubernetes, Docker), microservices, serverless, event‑driven architectures, CI/CD and observability to deliver scalable AI‑native systems.Tailor and deploy agentic applications across verticals – e.G., finance, healthcare, retail – addressing domain‑specific processes via intelligent nduct design workshops, POCs, and code‑with sessions to shape data‑driven agent workflows with stakeholders, fostering trust and adoption.Define and use key metrics, test harnesses and evaluation plans to measure agent accuracy, latency, safety, and cost effectiveness.Craft reusable patterns, documentation and best practices to influence internal assets and client roadmaps.TravelTravel may be required;




the amount of travel will vary from 0% to 100% depending on business need and client requirements.What You Need14+ years of overall professional experience with a strong engineering background.Minimum 10 years of engineering experience with cloud‑native systems (APIs, microservices, containerization, serverless).Minimum 1 year of hands‑on experience designing and deploying agentic AI solutions in production.Minimum 7 years of experience with AI platforms (Open AI, Claude, Vertex AI, open‑source models) and multi‑provider abstraction layers.Minimum 10 years of programming experience in Python, Java or equivalent.Strong experience with CI/CD, infrastructure as code (Terraform, Helm), monitoring, logging and debugging in production environments.Proven experience leading client discussions, technical workshops and delivery in ambiguous environments.Bonus Points IfAI certifications or experience with advanced agentic tooling.Prior experience as an Agentic AI Engineer in an enterprise setting.Experience designing compound AI systems, orchestration frameworks or agent registries.Strong understanding of AI‑native architecture principles, combining cloud‑native and generative AI design patterns.Experience delivering AI solutions across multiple industries.Why Join UsTransparent, fast‑paced career progression focused on strengths and continuous coaching from senior colleagues.Opportunity to work alongside Accenture experts solving industry challenges with innovative thinking and pioneering tools.Versátil work arrangements and a range of benefits, including competitive rewards.Access to state‑of‑the‑art technology to deepen existing skills while creating the latest business trends.Opportunities to make a difference in the communities where we work and live.

📌 Ai Native Product Engineer & Orchestrator (Madrid)
🏢 Accenture España
📍 Madrid