AI-Native Software Engineer: Build Production AI Features

Accenture PLC; Chicago (IL); On-site; USD 39,000 - 135,000; Full time

Benefits offered by this job

Medical benefits

401(k) plan

Paid holidays

Paid time off

Job summary

Accenture plc is seeking an experienced software engineer to design, build, and run production features across the full stack, including frontend, APIs, services, and data layers. You will deploy on cloud platforms using Docker and Kubernetes, contribute to CI/CD pipelines, and integrate AI-enabled features within enterprise workflows.

You will join an AI-native engineering team embedded with clients, owning features end-to-end and delivering code that performs under real production load.

Qualifications

• Minimum of 3 years of professional software engineering experience.
• Hands-on experience across more than one layer of the stack (e.g., frontend & API or services & data).
• 3+ years in programming with Java, Python, Go, TypeScript/JavaScript or C#.
• 3+ years with a major cloud platform (AWS/Azure/GCP).
• 3 years in automated CI/CD pipelines and testing.
• 1 year building AI-enabled features or agent workflows with API integration.

Responsibilities

• Build and ship production features across front end, APIs, backend services, and data layers.
• Read and debug unfamiliar code and trace problems across boundaries.
• Develop and deploy on cloud-native platforms using Docker and Kubernetes.
• Contribute to CI/CD pipelines and secure engineering practices.
• Design data access and context layers for AI features and agent workflows.

Skills

Software engineering

Full-stack

Cloud platforms

CI/CD

AI features

Python

Java

Education

Bachelor's degree in CS/Engineering

Tools

Docker

Kubernetes

Terraform

Helm

Job description

Accenture plc is seeking an experienced software engineer to design, build, and run production features across the full stack, including frontend, APIs, services, and data layers. You will deploy on cloud platforms using Docker and Kubernetes, contribute to CI/CD pipelines, and integrate AI-enabled features within enterprise workflows.

You will join an AI-native engineering team embedded with clients, owning features end-to-end and delivering code that performs under real production load.