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Accenture

Advises businesses and runs their technology

AI Forward Deployed Engineer

AI Application EngineeringPosted on Nov 11
Full-timeNo salary listedIn-person

About the Job

Requirements

  • Engineering experience with cloud-native systems, including application programming interfaces, microservices, containerization, and serverless computing.
  • Deep expertise designing and deploying agentic solutions, including agents, orchestration, context engineering, retrieval-augmented generation, and workflows, in production environments.
  • Experience with AI platforms including OpenAI, Claude, Vertex AI, and open-source models, including building abstraction layers for multi-provider pipelines.
  • Experience leading software engineering teams, overseeing delivery, allocating resources across workstreams, and owning direct reports' professional development.
  • Demonstrated end-to-end delivery ownership in a client-embedded environment; internal projects, vendor labs, or team-only deployments do not qualify.
  • Ability to articulate business value and quantify deployment impact in terms a chief financial officer can recognize and act on.
  • Experience presenting to and building trust with senior client stakeholders at the chief technology officer, chief financial officer, or chief information security officer level.
  • Experience managing, developing, and performance-managing a team of engineers, setting individual development plans, and conducting career conversations.

Responsibilities

  • Lead enterprise AI platform deployments across complex, multi-stakeholder client environments using platforms such as Anthropic, OpenAI, Microsoft, Google, Salesforce, SAP, or Palantir, owning the full programme from architecture through adoption.
  • Own programme-level delivery outcomes, including time-to-value, reliability, adoption velocity, and scalability across concurrent workstreams, with commercial metrics attached.
  • Lead rapid experimentation, turning ambiguous business problems into working production systems in days or weeks across complex enterprise environments.
  • Architect and govern enterprise AI solutions across identity, data, security, governance, platform layers, and multi-system workflow integration at programme scale.
  • Shape AI reinvention strategy for client CTOs, CFOs, and CISOs by building value architecture, return-on-investment backlogs, use-case prioritisation frameworks, and multi-year AI adoption roadmaps.
  • Define and publish reusable reinvention blueprints, patterns, and accelerators that scale across client engagements and grow the forward-deployed engineering practice.
  • Lead architecture design sessions, executive workshops, and code-with sessions with client engineering and C-suite leadership teams.
  • Codify delivery learnings, failure patterns, and engineering standards to shape the forward-deployed engineering practice and enable future engineers.

Desired Qualifications

  • Non-linear career profiles are welcomed; assessment is based on demonstrated deployment experience and outcome ownership rather than CV pattern matching.

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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