AI-Native Engineering Lead

Accenture PLC; Cincinnati (OH); On-site; USD 87,000 - 253,000; Full time

Job summary

Accenture PLC is seeking a senior software engineer to design, build, and operate large-scale production systems in a multi-cloud environment. You will own end-to-end delivery across front-end, APIs, data, and AI components, and lead secure, automated paths from commit to production.

You will partner with client tech leaders, translate ambiguous requirements into architectures, and ensure reliable, scalable delivery while guiding incident response and performance improvements.

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 of these concerns together.
• Diagnose production issues wherever they live: application code, networks, infrastructure, identity, data, or AI workloads.
• Design and deploy workloads using containers, Kubernetes, serverless, managed cloud services, and infrastructure as code, building for elasticity, resilience, and recoverability.
• Build the automated path from commit to production: CI/CD, automated testing, security scanning, artifact management, infrastructure deployment, policy enforcement, and release controls.

Skills

Production systems

Cloud platforms

CI/CD pipelines

AI/agentic systems

Education

Bachelor's degree in Computer Science or Engineering

Tools

Docker

Kubernetes

Terraform

Helm

AWS/Azure/GCP

Job description

Accenture PLC is seeking a senior software engineer to design, build, and operate large-scale production systems in a multi-cloud environment. You will own end-to-end delivery across front-end, APIs, data, and AI components, and lead secure, automated paths from commit to production.

You will partner with client tech leaders, translate ambiguous requirements into architectures, and ensure reliable, scalable delivery while guiding incident response and performance improvements.