AI-Native Engineering Manager: Enterprise Agentic Systems

Accenture; Walnut Creek (CA); On-site; USD 94,000 - 305,000; Full time

Benefits offered by this job

Medical benefits

401(k)

Paid time off

Job summary

Accenture seeks an AI Native Engineer with 3+ years building cloud-native solutions and expert agentic design for enterprise clients. You will embed with clients, prototype, deploy, and scale AI-powered workflows across complex environments.

You will design enterprise-grade agents, integrate AI platforms, and ensure robust, secure operations with measurable impact. Travel 25%–75% as needed.

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 in production environments.
• Minimum of 3 years experience with AI platforms — OpenAI, Claude, Vertex AI, plus open-source models.
• 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 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 enterprise-ready AI agents with retrieval, orchestration, policy-based routing, tool invocation, evaluation harnesses, and observability.
• AI Platform Integration: Develop abstraction layers across AI providers to enable seamless integration and enablement.
• Cloud-Native Engineering: Leverage Kubernetes, Docker, microservices, serverless, event-driven architectures, CI/CD, and observability for scalable AI-native systems.
• Domain-Specific Workflows: Tailor and deploy agentic apps across finance, healthcare, and retail addressing domain-specific processes.
• Client Engagement: Lead workshops, POCs, and code-with sessions to shape data-driven agent workflows with stakeholders.
• Measure & Improve: Define metrics, test harnesses, and evaluation plans for agent accuracy, latency, safety, and cost.
• Knowledge Sharing: Create patterns, docs, and best practices to influence assets and roadmaps.

Skills

Agent Architecture

AI Platform Integration

Cloud-Native Engineering

Domain-Specific Workflows

Client Engagement

Measurement & Improvement

Knowledge Sharing

Education

Bachelor's degree or equivalent (minimum 12 years) work experience

Tools

Kubernetes

Docker

Terraform

Helm

OpenAI

Claude

Vertex AI

Job description

Accenture seeks an AI Native Engineer with 3+ years building cloud-native solutions and expert agentic design for enterprise clients. You will embed with clients, prototype, deploy, and scale AI-powered workflows across complex environments.

You will design enterprise-grade agents, integrate AI platforms, and ensure robust, secure operations with measurable impact. Travel 25%–75% as needed.