AI-Native Engineering Lead for Production AI Systems

Accenture PLC

Beaverton (OR)

On-site

USD 120,000 - 180,000

Full time

4 hours ago
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Job summary

Accenture plc is seeking a senior software engineer to design and operate end-to-end production systems. You will work across frontend, API, data, cloud infrastructure, and AI components, owning architecture and delivery from inception to production.

You will lead multidisciplinary teams and shape technical direction while ensuring secure, scalable deployment. The role emphasizes hands-on engineering with cloud platforms, containers, and CI/CD, plus advancing AI-enabled or agentic capabilities

Qualifications

  • Minimum of 5 years of professional software engineering experience building and operating production systems.
  • Hands-on experience spanning multiple stack layers: frontend/API to services, data, and AI components.
  • Experience with major cloud platforms (AWS, Azure, or GCP), containers, orchestration (Docker, Kubernetes).

Responsibilities

  • Design and build production systems across front end, APIs, backend services, integration, data, infrastructure, and AI components.
  • Build automated CI/CD pipelines with automated testing and security controls.
  • Design AI-enabled or agentic systems and integrate them into production workflows.
  • Lead engineering teams and align client outcomes with technical direction.

Skills

Software engineering
Cloud platforms
CI/CD pipelines
AI-enabled systems
Security controls

Education

Bachelor's degree in CS or Engineering

Tools

Docker
Kubernetes
Terraform
Helm

Job description

Accenture plc is seeking a senior software engineer to design and operate end-to-end production systems. You will work across frontend, API, data, cloud infrastructure, and AI components, owning architecture and delivery from inception to production.

You will lead multidisciplinary teams and shape technical direction while ensuring secure, scalable deployment. The role emphasizes hands-on engineering with cloud platforms, containers, and CI/CD, plus advancing AI-enabled or agentic capabilities

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