AI-Native Systems Engineering Lead

Accenture PLC; Irving (TX); On-site; USD 140,000 - 210,000; Full time

Benefits offered by this job

Medical, dental, vision coverage

401(k) plan

Paid holidays

Paid time off

Job summary

Accenture seeks a senior software engineer to design, build, and operate production systems across frontend, APIs, data, and AI. You will own technical solutions from architecture to production and partner with client teams to deliver measurable outcomes.

You will lead DevSecOps, CI/CD, security controls, and cloud-native platforms using containers, Kubernetes, Terraform, and multi‑cloud tools, with travel 25%–75% to meet client needs.

Qualifications

• Minimum of 5 years building and operating production software systems.
• Hands-on experience across frontend, API, data, and cloud.
• Proficient in CI/CD pipelines, automated testing, and security controls.
• Experience with AI-enabled or agentic systems in production.
• Bachelor's degree in CS/Engineering or equivalent work experience.

Responsibilities

• Design and operate production systems across multiple layers and AI components.
• Lead engineering teams and client dialogues to align on architecture and outcomes.
• Build and deploy cloud-native platforms using containers and IaC.
• Own DevSecOps practices, including monitoring, security, and incident response.
• Drive reusable patterns and collaboration across internal and client teams.

Skills

Software engineering

Production systems

Cloud platforms

CI/CD pipelines

AI-enabled systems

Team leadership

Client-facing talks

Education

Bachelor's degree or equivalent experience

Tools

Docker

Kubernetes

Terraform

Helm

OpenAI SDK

Job description

Accenture seeks a senior software engineer to design, build, and operate production systems across frontend, APIs, data, and AI. You will own technical solutions from architecture to production and partner with client teams to deliver measurable outcomes.

You will lead DevSecOps, CI/CD, security controls, and cloud-native platforms using containers, Kubernetes, Terraform, and multi‑cloud tools, with travel 25%–75% to meet client needs.