A

Accenture

Advises businesses and runs their technology

AI Native Software Engineering Specialist - Reinvention Center

AI Application Engineering +1Posted on Nov 12
Full-time

About the Job

Requirements

  • A bachelor's degree in Computer Science, Engineering, or equivalent, or equivalent work experience of at least 12 years. Candidates with an associate's degree must have at least 6 years of work experience.
  • At least 3 years of engineering experience with cloud-native systems, including APIs, microservices, containerization, and serverless.
  • At least 1 year of hands-on experience designing and deploying agentic solutions, such as agents, orchestration, context engineering, retrieval-augmented generation, and workflows, in production or near-production environments.
  • At least 1 year of experience with modern AI platforms such as OpenAI, Claude, Vertex AI, or open-source models, including building or using abstraction layers for multi-provider pipelines.
  • At least 3 years of experience with Python, Java, or equivalent for building 12-factor applications, and with infrastructure as code such as Terraform or Helm.
  • At least 3 years of experience in client-facing communication and collaboration, including leading technical discussions, workshops, or delivery sessions in ambiguous situations.

Responsibilities

  • Design and build enterprise-ready AI agents incorporating retrieval, orchestration, policy-based routing, tool invocation, evaluation harnesses, and lifecycle observability.
  • Implement resilient, testable, and maintainable agentic workflows that can be iterated on quickly.
  • Develop or extend abstraction layers across AI providers, including Anthropic, Google, and OpenAI, to enable seamless integration and multi-provider enablement.
  • Contribute to shared libraries, software development kits, and patterns that can be reused across clients.
  • Use containerization with Kubernetes and Docker, microservices, serverless, event-driven architectures, continuous integration and continuous delivery, and observability stacks to deliver scalable AI-native systems.
  • Own deployment, monitoring, and troubleshooting for services in production.
  • Tailor and deploy agentic applications across industries such as finance, healthcare, and retail, adapting them to domain-specific processes and constraints.
  • Work with client subject-matter experts to translate business workflows into agentic solutions.
  • Participate in or lead design workshops, proofs of concept, and code-with sessions to shape data-driven agent workflows with stakeholders and foster trust and adoption.
  • Communicate trade-offs, risks, and recommendations to technical and non-technical audiences.
  • Define and use key metrics, test harnesses, and evaluation plans to measure agent accuracy, latency, safety, and cost effectiveness.
  • Iterate based on data, feedback, and changing requirements.
  • Create reusable patterns, documentation, and best practices that influence internal assets and client roadmaps.
  • Contribute to internal communities of practice around AI-native and agentic engineering.

Desired Qualifications

  • Relevant AI certifications or agentic tooling experience.
  • Experience serving as an Agentic or AI Engineer in an enterprise environment.
  • Experience building multi-agent orchestrations using LangGraph, CrewAI, Claude SDK, or OpenAI SDK.
  • A GitHub repository containing an agent or plugin the candidate has created.
  • Additional AI certifications or experience with agentic tooling and frameworks.
  • Experience defining or working with enterprise-grade architectures for compound AI systems, orchestration frameworks, or agent registry or stream-based architectures.
  • Understanding of the AI-native paradigm, combining cloud-native and generative model architectures, and optimizing for performance, modularity, and efficiency.
  • Experience delivering solutions across multiple industries, such as finance and healthcare, by tailoring agentic workflows to industry needs.
  • Experience driving execution across multiple workstreams while ensuring quality, delivery, and alignment with client outcomes.

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