AI-Native Systems Lead Engineer

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

Benefits offered by this job

Medical insurance

401(k) plan

Paid holidays

Job summary

Accenture is seeking a senior software engineer to design, build, and operate production systems at scale, spanning front end, APIs, data, cloud, DevSecOps, security, observability, and AI. You will own technical solutions from architecture through production and guide AI-enabled, agentic systems.

Travel may be required (25%–75%). You will lead multidisciplinary teams, set technical direction, and work directly with client technology leaders to deliver measurable outcomes.

Qualifications

• 5+ years of professional software engineering experience.
• Experience across front end or API through services, integration, persistence, and asynchronous processing.
• Hands-on production experience with a major cloud platform (AWS, Azure, or GCP).
• Experience designing and operating CI/CD pipelines through to production.
• Experience designing, building, and deploying AI-enabled or agentic systems.

Responsibilities

• Design and build production systems across front end, APIs, backend services, integration, data, infrastructure, and AI components.
• Diagnose production issues across code, networks, infrastructure, identity, data, or AI workloads.
• Lead DevSecOps and production engineering, including automated testing, security scans, and release controls.
• Design data and context architectures for transactional, streaming, analytical, and unstructured data flows.

Skills

Software engineering

Cloud platforms

CI/CD pipelines

AI-enabled systems

Team leadership

Java

Python

Go

TypeScript/JavaScript

C#

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, build, and operate production systems at scale, spanning front end, APIs, data, cloud, DevSecOps, security, observability, and AI. You will own technical solutions from architecture through production and guide AI-enabled, agentic systems.

Travel may be required (25%–75%). You will lead multidisciplinary teams, set technical direction, and work directly with client technology leaders to deliver measurable outcomes.