A

Accenture

Advises businesses and runs their technology

Full Stack Forward Deployed Engineering Manager

AI Application EngineeringConfirmed live in the last 24 hours
Full-time

About the Job

Requirements

  • A minimum of 3 years of engineering experience with cloud-native systems, including APIs, microservices, and containerization.
  • A minimum of 1 year of expertise designing and deploying agentic solutions in production environments, including agents, orchestration, context engineering, retrieval-augmented generation, and workflows.
  • A 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.
  • A minimum of 5 years of programming experience in Python, Java, or an equivalent language, with familiarity in evaluation tooling, logging, monitoring, and agent observability.
  • A minimum of 5 years of experience deploying to production, including continuous integration and continuous delivery, infrastructure as code such as Terraform and Helm, monitoring, and debugging.
  • A minimum of 5 years of experience with client communication and collaboration, including the ability to lead technical workshops and deliver under ambiguity.
  • A bachelor's degree or equivalent work experience of at least 12 years; an associate degree requires 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 technologies such as Kubernetes and Docker, microservices, serverless, 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 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.
  • Embed directly with clients as a technologist and trusted advisor; partner with stakeholders to define use cases, rapidly prototype, and deploy robust, secure, operational agentic workflows in complex enterprise domains.
  • Help shape the playbook for how enterprises adopt and scale AI-native engineering globally.
  • Travel as required, with the amount varying from 0% to 100% depending on business need and client requirements.

Desired Qualifications

  • Experience serving as an Agentic AI Engineer in an enterprise environment.
  • Additional AI certifications or experience with agentic tools.
  • Experience defining or working with enterprise-grade architectures for compound AI systems, orchestration frameworks, or agent registry/stream-based architectures.
  • Understanding of the AI-native paradigm, blending cloud-native and generative model architectures while optimizing performance, modularity, and efficiency.
  • Experience delivering solutions across multiple industries, such as finance and healthcare, by tailoring agentic workflows to industry needs.

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

Recently Posted Jobs

Explore more opportunities at Accenture

See more jobs