AI-Native Production Systems Engineering Lead

Accenture PLC; Austin (TX); On-site; USD 87,000 - 316,000; Full time

Job summary

Accenture is seeking a senior software engineer to design and operate production systems across frontend, API, data, and AI layers in client engagements across industries. You will own architecture, drive secure CI/CD pipelines, and partner with multidisciplinary teams to deliver measurable outcomes.

The role emphasizes cloud-native platforms, containerization (Docker/Kubernetes), and AI-enabled workflows, with travel 25–75% depending on client needs. Bachelor’s degree required.

Qualifications

• Minimum of 5 years of professional software engineering experience building and operating production systems.
• Minimum of 5 years of hands-on experience spanning multiple layers of the stack, including front end or API through services, integration, persistence, and asynchronous processing.
• Minimum of 5 years of programming experience in at least one major language such as Java, Python, Go, TypeScript/JavaScript, or C#.

Responsibilities

• Design and build production systems across front end, APIs, backend services, integration, data, infrastructure, and AI components, making architectural decisions across all these concerns together.
• Diagnose production issues wherever they live: application code, networks, infrastructure, identity, data, or AI workloads.
• Design and implement AI capabilities using frontier and enterprise models, integrated into live enterprise systems and production workflows.

Skills

Software engineering

Cloud platforms

CI/CD pipelines

AI-enabled systems

Team leadership

Education

Bachelor's degree in Computer Science or Engineering

Tools

Docker

Kubernetes

Terraform

Helm

Job description

Accenture is seeking a senior software engineer to design and operate production systems across frontend, API, data, and AI layers in client engagements across industries. You will own architecture, drive secure CI/CD pipelines, and partner with multidisciplinary teams to deliver measurable outcomes.

The role emphasizes cloud-native platforms, containerization (Docker/Kubernetes), and AI-enabled workflows, with travel 25–75% depending on client needs. Bachelor’s degree required.