Senior AI-Native Systems Engineer

Accenture; St. Louis (MO); On-site; USD 95,000 - 316,000; Full time

Job summary

Accenture seeks a senior engineer to build and operate end-to-end production systems, spanning frontend, APIs, data, and AI components. You will own architecture, provisioning, pipelines, and agentic capabilities, while partnering with client technologists to deliver measurable outcomes.

You will lead multidisciplinary teams, shape technical direction, and stay hands-on to inspect, prototype, and debug implementations, including AI-enabled workflows and secure-by-design practices.

Qualifications

• Minimum of 5 years of professional software engineering experience building and operating production systems.
• Experience across multiple layers of the stack from front end or API through services and data.
• Proficiency in one or more major languages (Java, Python, Go, TS/JS, or C#).
• Hands-on production experience with a major cloud platform (AWS/Azure/GCP) and containers.
• Experience designing and operating CI/CD pipelines and security controls.
• Experience designing AI-enabled or agentic systems in production environments.

Responsibilities

• Design and build production systems across front end, APIs, backend services, integration, data, infrastructure, and AI components.
• Diagnose production issues across application, networks, identity, data, or AI workloads.
• Lead engineering teams and workshops; communicate trade-offs and recommendations to technical and executive audiences.
• Build AI-native workflows, tooling, and agentic systems with safety and observability.

Skills

Software engineering

Cloud platforms

CI/CD

AI/Agentic systems

Distributed systems

Containers/Kubernetes

Education

Bachelor's degree in CS/Engineering

Tools

Docker

Kubernetes

Terraform

Helm

Job description

Accenture seeks a senior engineer to build and operate end-to-end production systems, spanning frontend, APIs, data, and AI components. You will own architecture, provisioning, pipelines, and agentic capabilities, while partnering with client technologists to deliver measurable outcomes.

You will lead multidisciplinary teams, shape technical direction, and stay hands-on to inspect, prototype, and debug implementations, including AI-enabled workflows and secure-by-design practices.