20 publicaciones de empleo destacadas de cloud observability engineer en md (¡Están contratando!)

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AI Native Product Engineer & Orchestrator

Accenture -
Madrid, Madrid provincia

Solicitar ahora

Detalles del empleo

Jornada completa

Cualificaciones

CI/CD
Java
Arquitectura de microservicios
Docker
Terraform
APIs
Cloud
Inteligencia artificial
Python
Debugging
Patrones de diseño

Descripción completa del empleo

Accenture Technology:

Through unmatched industry experience, leading technologies from our ecosystem partners and startups, and the largest delivery network in the world, we provide a powerful range of capabilities that can be tailored to our client’s most complex business needs. With over 100 innovation hubs deployed around the world, we help clients continuously innovate at speed and at scale so they can outpace their peers. You will bring innovation, intelligence, and industry experience together with the newest technologies to help clients innovate at scale and transform their businesses. Visit us at www.accenture.com.

We are:

A forward-thinking services company at the forefront of AI-native innovation. We partner with enterprise clients to create next-generation, agent-powered workflows engineered to scale in real-world settings. Our engineers embed deeply with customers, moving projects beyond experimentation into operational reality.

You are:

An AI Native Engineer with experience building cloud-native solutions, and deep expertise in designing and deploying agentic systems, especially for enterprise environments. You are a critical thinker that thrives in ambiguity, delivering concrete results by designing, building, and running custom AI agents that augment workflows and scale across modern infrastructure. You’ll help shape the playbook for how enterprises adopt and scale AI-native engineering globally.

The Work:

You’ll embed directly with clients — acting as both technologist and trusted advisor. You’ll partner with stakeholders to define use cases, rapidly prototype, and deploy agentic workflows that are robust, secure, and operational in complex enterprise domains. Often, these will be completely net new platforms and systems that need to be stitched together in our clients' environments alongside our Ecosystem partners.

Responsibilities:

Agent Architecture and Engineering: Design and engineer enterprise-ready AI agents encompassing retrieval, orchestration, policy-based routing, tool invocation, evaluation harnesses, and lifecycle observability.
AI Platform Integration: Develop abstraction layers across AI providers (Anthropic, Google, OpenAI, etc. ) to enable seamless integration and enablement.
Cloud-Native Engineering: Leverage containerization (Kubernetes, Docker), microservices, serverless, event-driven architectures, CI/CD, and observability to deliver scalable AI-native systems.
Domain-Specific Workflows: Tailor and deploy agentic applications across verticals — e.g., finance, healthcare, retail — addressing domain-specific processes via intelligent automation.
Client Engagement: Conduct design workshops, POCs, and code-with sessions to shape data-driven agent workflows with stakeholders, fostering trust and adoption.
Measure & Improve: Define and use key metrics, test harnesses, and evaluation plans to measure agent accuracy, latency, safety, and cost effectiveness.
Knowledge Sharing: Craft reusable patterns, documentation, and best practices to influence internal assets and client roadmaps.

Travel may be required for this role. The amount of travel will vary from 0 to 100% depending on business need and client requirements.

What You Need:

Strong engineering background.
Strong engineering experience with cloud-native systems (APIs, microservices, containerization, serverless).
Hands-on experience designing and deploying agentic AI solutions in production.
Solid experience with AI platforms (OpenAI, Claude, Vertex AI, open-source models), including multi-provider abstraction layers.
Strong expertise 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 If:

AI 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 Us?

We offer a transparent, fast paced approach career progression, with a focus on your strengths and continuous coaching from senior colleagues
You will benefit from working alongside Accenture experts who are solving some of the biggest industry challenges with innovative thinking and pioneering tools
Flexible work arrangements and a range of benefits including competitive rewards
You will have access to state-of-the-art technology that will give you the opportunity to deepen your existing skills even as you help create the latest business trends
You will also have opportunities to make a difference to the communities in which we work and live
#LI-MP

Next Steps:

If this sounds like the ideal role, career and company for you, click to apply.

To learn more about life @AccentureMiddleEast, follow us on social media and keep up with our latest news.

Accenture Middle East: LinkedIn, Instagram, Facebook, Twitter, YouTube

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cloud observability engineer empleos en md

AI Native Product Engineer & Orchestrator

Senior Tech Generalist (Software Engineer)

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Cloud Architect

Ingeniero/a de Soporte de Pipelines - CI/CD, hibrido

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Backend Software Engineer – Microservices (Java)

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