AI-Native Production Systems Manager

Accenture PLC; Carmel (IN); On-site; USD 120,000 - 250,000; Full time

Benefits offered by this job

Medical, dental, vision

401(k) plan

Bonus opportunities

Paid holidays and time off

Job summary

Accenture PLC seeks a senior software engineer to design, build, and operate production systems across front-end, APIs, data, cloud, and AI components. You’ll own the technical solution end-to-end, from architecture to production, and collaborate with multidisciplinary teams to deliver measurable outcomes for enterprise clients.

You will work with AI-enabled and agentic systems, implement CI/CD pipelines, secure-by-design practices, and cloud-native platforms on AWS/Azure/GCP, with travel as

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#.
• Minimum of 5 years of hands‑on production experience with a major cloud platform (AWS, Azure, or GCP), including containers and orchestration (Docker, Kubernetes) and infrastructure as code (Terraform, Helm, or equivalent).
• Minimum of 5 years of experience designing and operating CI/CD pipelines through to production, including automated testing and integrated security controls.
• Minimum of 1 years of hands‑on experience designing, building, and deploying AI‑enabled or agentic systems in production or near‑production environments, including model integration, tool use, retrieval, context engineering, orchestration, and evaluation.
• Minimum of 1 years of experience applying AI‑native engineering tools and workflows to day‑to‑day software development, including code generation, automated testing, debugging, modernization, and documentation.
• Minimum of 5 years of experience leading engineering teams or significant technical workstreams, including leading client‑facing technical discussions, workshops, or delivery sessions under ambiguity.
• Bachelor's degree in Computer Science, Engineering or equivalent OR equivalent (minimum 12 years) work experience. (If Associate's Degree, must have minimum 6 years work experience)

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 (Terraform, Helm, or equivalent), building for elasticity, resilience, and recoverability.
• Use the native capabilities of AWS, Azure, or GCP, including cloud networking, compute, storage, identity, secrets, service communication, and workload isolation.
• Build the automated path from commit to production: CI/CD, automated testing, security scanning, artifact management, infrastructure deployment, policy enforcement, and release controls.
• Apply secure‑by‑design practices (identity, least privilege, secrets, encryption, dependency and supply‑chain security), instrument logs, metrics, traces, and SLOs, and lead incident response and root‑cause analysis.
• Design and implement AI capabilities using frontier and enterprise models (OpenAI, Anthropic, Microsoft, Google, AWS, and others), integrated into live enterprise systems and production workflows.
• Lead multidisciplinary teams spanning software, cloud, platform, security, data, and AI engineering; set engineering standards and develop the engineers around you.
• Lead architecture and engineering sessions with senior client technologists, and communicate trade‑offs, risks, and recommendations clearly to both technical and executive audiences.

Skills

Software engineering

Production systems

Cloud platforms (AWS/Azure/GCP)

CI/CD

AI-enabled systems

Security by design

Team leadership

Education

Bachelor's degree in Computer Science, Engineering or equivalent OR equivalent (minimum 12 years) work experience

Tools

Docker

Kubernetes

Terraform

Helm

CI/CD tooling

Job description

Accenture PLC seeks a senior software engineer to design, build, and operate production systems across front-end, APIs, data, cloud, and AI components. You’ll own the technical solution end-to-end, from architecture to production, and collaborate with multidisciplinary teams to deliver measurable outcomes for enterprise clients.

You will work with AI-enabled and agentic systems, implement CI/CD pipelines, secure-by-design practices, and cloud-native platforms on AWS/Azure/GCP, with travel as