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Accenture

Advises businesses and runs their technology

Forward Deployed AI Engineer

AI Application EngineeringConfirmed live in the last 24 hours
Full-time€32k - €54.9k /yrIn-person

About the Job

Requirements

  • Demonstrable engineering experience with cloud-native systems, including APIs, microservices, containerization, and serverless.
  • Deep expertise in designing and deploying agentic solutions, including agents, orchestration, context engineering, retrieval-augmented generation, and workflows, in production environments.
  • Demonstrable experience with AI platforms including OpenAI, Claude, Vertex AI, and open-source models, including building abstraction layers to manage multi-provider pipelines.
  • Extensive and demonstrable experience deploying to production, using continuous integration and continuous delivery, infrastructure as code such as Terraform and 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 and quantify deployment impact in terms a chief financial officer would recognize and act on.
  • Experience presenting to and building trust with senior client stakeholders at chief technology officer, chief financial officer, or chief information security officer level.
  • Assessment is based on demonstrated deployment experience and outcome ownership, not résumé pattern matching; non-linear profiles are welcomed.

Responsibilities

  • Embed directly with client engineering and business teams to deploy, scale, and operationalize AI platforms, including Anthropic, OpenAI, Microsoft, Google, Salesforce, SAP, or Palantir, inside enterprise environments.
  • Own production outcomes end-to-end, including time-to-value, reliability, adoption velocity, and scalability, with business metrics attached rather than delivery milestones.
  • Move from ambiguous business problems to working production systems through rapid experimentation, prototyping in days and reaching production readiness in weeks.
  • Design and govern AI architectures across the full enterprise stack, including identity, data, security, governance, platform layers, and workflow integration.
  • Translate technical architecture into business impact for client chief technology officers, chief financial officers, and chief information security officers; shape use-case roadmaps, return-on-investment backlogs, and AI adoption strategy.
  • Build reusable patterns, playbooks, and accelerators that clients own after the engagement, enabling client teams to run them independently.
  • 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 forward deployed engineering practice.

About the Company

Accenture

Advises businesses and runs their technology

Accenture advises large businesses and public agencies on strategy, builds their technology systems and runs ongoing operations. Its teams connect business planning with implementation, covering areas such as cloud migration, cybersecurity and customer experience. Consultants work with clients to redesign processes, while engineers integrate software from technology partners and maintain the resulting systems for multinational organizations. Clients pay for project work or continuing services, including application support and business processes such as finance and customer service. Accenture was founded in 1989 and has its headquarters in Dublin, Ireland.

Company size
10,001+
Company stage
IPO
Headquarters
Dublin, Ireland
Founded
1989

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