Accenture

Accenture

Posted via Workday

Forward Deployed Engineer

Posted Sep 3, 2026

Role at a glance

Salary
Not Disclosed
Location
Madrid, Castellana 85
Work arrangement
On-site
Employment
Full-time

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Role Summary

AI-generated

The Forward Deployed Engineer works with client engineering and business teams to deploy, scale, and operationalize AI platforms in enterprise environments. The role owns production outcomes, including time-to-value, reliability, adoption, and scalability.

What You'll Do

  • Embed with client teams to deploy, scale, and operationalize AI platforms in enterprise environments.
  • Move ambiguous business problems to working production systems through rapid experimentation and design AI architectures across the...
  • Own production outcomes, including time-to-value, reliability, adoption, and scalability.
  • Translate technical architecture into business impact, shape use-case roadmaps and adoption strategy, and lead workshops, proofs of...
  • Build reusable patterns, playbooks, and accelerators for clients, and codify learnings across engagements.

Generated from the employer's posting. Verify important details before applying.

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Qualifications

Required: Commercial experience with cloud-native systems; deep expertise designing and deploying agentic solutions in production; commercial experience with AI platforms and multi-provider abstraction layers; production deployment experience with CI/CD, infrastructure as code, monitoring, and debugging; end-to-end delivery ownership in a client-embedded environment (internal projects, vendor labs, and team-only deployments do not qualify); ability to quantify business value; and experience presenting to senior client stakeholders.

Required

  • Commercial experience with cloud-native systems, including APIs, microservices, containerization, and serverless.
  • Deep expertise designing and deploying agentic solutions in production, including agents, orchestration, context engineering, RAG, and...
  • Commercial experience with OpenAI, Claude, Vertex AI, and open-source models, including building abstraction layers for multi-provider...
  • Experience deploying to production, CI/CD, infrastructure as code (Terraform, Helm), monitoring, and debugging.
  • End-to-end delivery ownership in a client-embedded environment; internal projects, vendor labs, and team-only deployments do not qualify.
  • Ability to quantify deployment impact in terms a CFO would recognize and act on.
  • Experience presenting to and building trust with senior client stakeholders at CTO, CFO, or CISO level.

Original job description

Content provided by the employer

  • Role Description 

    This is not a consulting role. It is not a project delivery role. It is not a research position. A Forward Deployed AI Engineer is a production engineer who works embedded inside a client's enterprise, shoulder to shoulder with their teams, to make complex AI platforms work in real, messy organizational environments. You own outcomes: time-to-value, adoption, reliability, and scalability. Not delivery milestones. Outcomes. 

    The market is beginning to understand what leading technology companies have demonstrated: AI products fail not because the models are weak but because deployment is broken. The gap between a successful AI pilot and an AI capability that scales is bridged by engineers who can translate platform capability into measurable business value inside a real enterprise environment. That is this role. 

    Forward Deployed AI Engineers form the execution spine of our Reinvention Deployment Engineering pods. We are building the largest FDE capability in the services industry. The engineers who join at this stage will define what the role looks like at scale and will have access to the hardest enterprise AI problems in the market across every industry. 

    Key Responsibilities 

    • Embed directly with client engineering and business teams to deploy, scale, and operationalize AI platforms — Anthropic, OpenAI, Microsoft, Google, Salesforce, SAP, or Palantir — inside enterprise environments 

    • Own production outcomes end-to-end: time-to-value, reliability, adoption velocity, and scalability, with business metrics attached — not just delivery milestones 

    • Move from ambiguous business problem to working production system through rapid experimentation: days to prototype, weeks to production-ready 

    • Design and govern AI architectures across the full enterprise stack: identity, data, security, governance, platform layer, and workflow integration 

    • Translate technical architecture into business impact for client CTO, CFO, and CISO; shape use case roadmaps, ROI backlogs, and AI adoption strategy 

    • Build reusable patterns, playbooks, and accelerators that the client owns after you leave — enabling the client team to run it without you 

    • Lead design workshops, proofs of concept, architecture walkthroughs, and code-with sessions with client engineering and leadership teams 

    • Codify patterns and delivery learnings that scale across engagements and contribute to the growth of the FDE practice 

  • Basic Qualifications 
    • Commercial experience with cloud-native systems (APIs, microservices, containerization, serverless). 

    • Experience of deep expertise in designing and deploying agentic solutions (agents, orchestration, context engineering, RAG, workflows) in production environments. 

    • Commercial experience with AI platforms — OpenAI, Claude, Vertex AI, plus open-source models — including building abstraction layers to manage multi-provider pipelines. 

    • Strong experience deploying to production , CI/CD, infrastructure as code (Terraform, Helm), monitoring, and debugging. 

    • Demonstrated end-to-end delivery ownership in a client-embedded environment, internal projects, vendor labs, or team-only deployments do not qualify 

    • Proven ability to articulate business value: can quantify the impact of deployments in terms a CFO would recognize and act on 

    • Experience presenting to and building trust with senior client stakeholders, CTO, CFO, or CISO level 

    • Non-linear profiles are expected and welcomed, assessment is based on demonstrated deployment experience and outcome ownership, not CV pattern matching 

      #LI-MP

About Accenture

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 at www.accenture.com 

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Accenture

About the company

Accenture

Large Enterprise

Accenture is a global professional services company that specializes in providing consulting, technology, and outsourcing services. With a diverse range of industries served, including financial services, healthcare, and telecommunications, Accenture leverages advanced technologies and data analytics to help organizations improve their performance and drive innovation. Committed to sustainable progress, the company emphasizes its dedication to inclusivity, digital transformation, and building a more sustainable future for its clients and communities. With a presence in over 120 countries, Accenture is known for its expertise in integrating cutting-edge solutions that address complex business challenges.