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Accenture

Advises businesses and runs their technology

Full Stack Forward Deployed Engineer - Reinvention Center

AI Application Engineering +1Confirmed live in the last 24 hours
Full-time

About the Job

Requirements

  • Minimum of 3 years of engineering experience with cloud-native systems, including application programming interfaces, microservices, containerization, and serverless systems.
  • Minimum of 3 years of programming experience in Python, Java, or an equivalent language; familiarity with evaluation tooling, logging, monitoring, and agent observability.
  • Minimum of 3 years of experience deploying to production, including continuous integration and continuous delivery, infrastructure as code using Terraform or Helm, monitoring, and debugging.
  • Minimum of 3 years of experience with client communication and collaboration, including the ability to lead technical workshops and deliver under ambiguity.
  • Minimum of 2 years of experience with AI platforms such as OpenAI, Claude, Vertex AI, and open-source models, including building abstraction layers to manage multi-provider pipelines.
  • Minimum of 1 year of expertise designing and deploying agentic solutions—including agents, orchestration, context engineering, retrieval-augmented generation, and workflows—in production environments.
  • Bachelor's degree or equivalent work experience of at least 12 years. An associate degree is accepted with at least 6 years of work experience.

Responsibilities

  • Design 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, including Anthropic, Google, and OpenAI, to enable seamless integration and enablement.
  • Use containerization with Kubernetes and Docker, microservices, serverless systems, event-driven architectures, continuous integration and continuous delivery, and observability to deliver scalable AI-native systems.
  • Tailor and deploy agentic applications across verticals such as finance, healthcare, and retail, addressing domain-specific processes through intelligent automation.
  • Conduct design workshops, proofs of concept, and code-with sessions with client stakeholders to shape data-driven agent workflows and foster trust and adoption.
  • Define and use key metrics, test harnesses, and evaluation plans to measure agent accuracy, latency, safety, and cost effectiveness.
  • Create reusable patterns, documentation, and best practices to influence internal assets and client roadmaps.

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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