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Accenture

Advises businesses and runs their technology

AI Native Development Lead - Reinvention Center

AI Application EngineeringConfirmed live in the last 24 hours
Full-timeCA$100.3k - CA$216.7k /yr

About the Job

Requirements

  • A minimum of 3 years of development experience with cloud-native systems, including APIs, microservices, and containerization.
  • A minimum of 1 year of expertise designing and deploying agentic solutions, including agents, orchestration, context design, retrieval-augmented generation, and workflows, in production environments.
  • A minimum of 3 years of experience with AI platforms, including OpenAI, Claude, Vertex AI, and open-source models, including building abstraction layers to manage multi-provider pipelines.
  • A minimum of 5 years of experience programming in Python, Java, or an equivalent language, and familiarity with 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 using Terraform or 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 completion of a college program in a related discipline is required.
  • English is required because the role regularly interacts with English-speaking stakeholders across Canada, and these interactions cannot be reorganized to avoid the requirement.

Responsibilities

  • Design and develop 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.
  • Leverage containerization with 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 finance, healthcare, and retail, addressing domain-specific processes through intelligent automation.
  • Conduct design workshops, proofs of concept, and code-with sessions to shape data-driven agent workflows with stakeholders 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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