Enterprise AI Agent Platform Lead (Full-Stack)

Accenture PLC; Western Australia; On-site; AUD 130,000 - 458,000; Full time

Benefits offered by this job

Medical benefits

401(k) plan

Paid holidays

Paid time off

Job summary

Accenture PLC seeks an AI Native Engineer with 5+ years of experience to design and deploy agentic systems on cloud-native platforms. You will embed with clients, define use cases, prototype rapidly, and scale workflows across enterprise environments.

Responsibilities include architecting AI agents, integrating AI providers, and delivering secure, observable, production-ready solutions. Travel may be required as needed.

Qualifications

• Minimum 3 years engineering experience with cloud-native systems (APIs, microservices, containerization, serverless).
• Minimum 1 year expertise in designing and deploying agentic solutions in production environments.
• Minimum 2 years experience with AI platforms — OpenAI, Claude, Vertex AI, plus open-source models.
• Minimum 5 years experience programming in Python, Java, or equivalent; familiarity with evaluation tooling, logging, monitoring, and agent observability.
• Minimum 5 years experience deploying to production — CI/CD, infrastructure as code (Terraform, Helm), monitoring, and debugging.

Responsibilities

• Agent Architecture and Engineering: Design and engineer enterprise-ready AI agents encompassing retrieval, orchestration, policy-based routing, tool invocation, evaluation harnesses, and lifecycle observability.
• AI Platform Integration: Develop abstraction layers across AI providers to enable seamless integration and enablement.
• Cloud-Native Engineering: Leverage containerization, microservices, serverless, event-driven architectures, CI/CD, and observability to deliver scalable AI-native systems.
• Domain-Specific Workflows: Tailor and deploy agentic applications across verticals — e.g., finance, healthcare, retail — addressing domain-specific processes via intelligent automation.
• Client Engagement: Conduct design workshops, POCs, and code-with sessions to shape data-driven agent workflows with stakeholders, fostering trust and adoption.
• Measure & Improve: Define and use key metrics, test harnesses, and evaluation plans to measure agent accuracy, latency, safety, and cost effectiveness.
• Knowledge Sharing: Craft reusable patterns, documentation, and best practices to influence internal assets and client roadmaps.

Skills

Cloud-native engineering

Agentic AI design

AI platforms

Python/Java

Education

Bachelor's degree or equivalent

Tools

Kubernetes

Docker

CI/CD

Job description

Accenture PLC seeks an AI Native Engineer with 5+ years of experience to design and deploy agentic systems on cloud-native platforms. You will embed with clients, define use cases, prototype rapidly, and scale workflows across enterprise environments.

Responsibilities include architecting AI agents, integrating AI providers, and delivering secure, observable, production-ready solutions. Travel may be required as needed.