AI Native Software Engineer - Americas Market

Accenture PLC; Redmond; On-site; AUD 215,000 - 330,000; Full time

Job summary

Accenture PLC is seeking a senior engineer who can design, build and operate end-to-end production systems across frontend, backend, data, cloud, and AI components. You will own the technical solution from architecture to production, collaborate with cross-functional teams, and drive DevSecOps practices to ensure reliability and security at scale.

You will mentor engineers, adopt AI-enabled tooling, and deliver measurable outcomes for clients, translating ambiguity into concrete architectures

Qualifications

• Senior engineer capable of designing and operating end-to-end production systems across frontend, backend, data, cloud, and AI components.
• Owns technical solutions from architecture to production and drives secure-by-design practices.

Responsibilities

• Design and build production systems across front end, APIs, backend services, data, and AI components.
• Diagnose and resolve production issues across software, networks, identity, data, and AI workloads.

Skills

Cloud engineering

Production systems

DevSecOps

Distributed systems

AI systems

Tools

Kubernetes

Terraform

Helm

CI/CD

Serverless

Job description

About Accenture:

Accenture helps the world's leading enterprises reinvent by building their digital core and unleashing the power of AI to create value at speed for organizations across industries. Our strategy is to be the reinvention partner of choice for our clients and lead in the safe, widespread adoption of AI, and to be the most client-focused, AI-enabled, great place to work in the world. We bring together the talent of our approximately 814,000 people with proprietary assets and platforms, deep process and industry expertise, and leading ecosystem relationships to deliver end-to‑end solutions and measurable outcomes at scale. Through our Reinvention Services, we offer broad expertise across Cybersecurity, Digital Core, Finance, Industry and Enterprise, Song, Supply Chain, and Engineering, and Talent, with advanced capabilities in AI and Data, Industry and Process, and Technology. We serve approximately 9,000 clients and generated approximately $74 billion in FY26 revenue. Visit us at accenture.com.

We are:

A forward‑thinking services company at the forefront of AI‑native engineering. We partner with enterprise clients to design, build, and run production systems in which AI is a first‑class engineering capability, engineered into the product and into the way our teams build it. Our engineers embed deeply with customers, own outcomes end to end, and move work past experimentation into operational reality.

You are:

A senior engineer who can build and operate an entire production system. You work across application and product engineering, APIs and services, data, cloud infrastructure, DevSecOps, security, observability, and AI, and you are comfortable being accountable for all of it. You take an ambiguous business or engineering problem and own the technical solution from architecture through production. You are equally credible designing a distributed system, provisioning the infrastructure it runs on, building the pipeline that ships it, and designing the AI and agentic capabilities that operate inside it.

You also engineer with AI. It is part of how you build software: how you generate, test, review, modernize, document, and operate it. You can demonstrate the measurable difference it makes to your own delivery.

You'll shape how enterprises adopt AI‑native engineering by leading multidisciplinary teams and setting technical direction, while staying hands‑on enough to inspect, challenge, prototype, and debug the implementation yourself.

The Work:

You'll partner directly with client technology leaders, acting as both engineer and trusted advisor. You'll turn ambiguous requirements into architectures, executable increments, and measurable outcomes, then get them into production. Often these are net‑new platforms that have to be stitched into a client's existing estate alongside our ecosystem partners.

Own the Whole System

• 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.

Engineer Cloud‑Native Platforms

• 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.

Own DevSecOps and Production Engineering

• 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.