AI-Native Engineering Manager, Enterprise Agent Systems

Accenture; Beaverton (OR); On-site; USD 120,000 - 230,000; Full time

Job summary

Accenture is seeking an AI Native Engineer to design, build, and operate enterprise-grade AI agents integrated with cloud-native platforms. You will collaborate with clients to define use cases, prototype quickly, and deploy robust, secure workflows across complex environments.

The role emphasizes hands-on engineering, delivery in production, and leading technical workshops with stakeholders to drive adoption and measurable outcomes.

Qualifications

• Minimum of 3 years engineering experience with cloud-native systems (APIs, microservices, containerization, serverless).
• Minimum of 1 year expertise in designing and deploying agentic solutions (agents, orchestration, context engineering, RAG, workflows) in production environments.
• Minimum of 2 years experience with AI platforms — OpenAI, Claude, Vertex AI, plus open-source models — including building abstraction layers to manage multi-provider pipelines.
• Minimum of 5 years experience programming in Python, Java, or equivalent; familiarity with evaluation tooling, logging, monitoring, and agent observability.
• Minimum of 5 years experience deploying to production — CI/CD, infrastructure as code (Terraform, Helm), monitoring, and debugging.
• Minimum of 5 years experience with client communication and collaboration, including being capable of leading technical workshops and delivering under ambiguity.
• Bachelor's degree or equivalent (minimum 12 years) work experience. (If Associate Degree, must have minimum 6 years work experience)

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 (Anthropic, Google, OpenAI, etc. ) to enable seamless integration and enablement.
• Cloud-Native Engineering: Leverage containerization (Kubernetes, Docker), 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

Python/Java programming

CI/CD & Observability

Kubernetes & Docker

Multi-provider AI platforms

Client workshops & engagement

Production deployment

Education

Bachelor's degree or equivalent

Tools

Kubernetes

Docker

Terraform

Helm

OpenAI APIs

Anthropic

Vertex AI

Job description

Accenture is seeking an AI Native Engineer to design, build, and operate enterprise-grade AI agents integrated with cloud-native platforms. You will collaborate with clients to define use cases, prototype quickly, and deploy robust, secure workflows across complex environments.

The role emphasizes hands-on engineering, delivery in production, and leading technical workshops with stakeholders to drive adoption and measurable outcomes.