AI Native Software Engineer - Americas Market

Accenture PLC; Carmel (IN); On-site; USD 140,000 - 230,000; Full time

Job summary

Accenture plc in Carmel, IN is seeking a senior engineer to design, build, and operate end-to-end production systems spanning front-end, APIs, backend, data, and AI. You’ll own architecture through production, work across cloud, security, observability, and agentic AI components, and partner with client teams.

You’ll lead on cloud-native platforms, CI/CD, DevSecOps, and production reliability, shaping how clients adopt AI-native engineering while staying hands-on to prototype and debug.

Qualifications

• Senior engineer who can own the technical solution end-to-end.
• Experience across APIs, data, and AI components.
• Ability to translate ambiguous requirements into architectures.
• Hands-on with AI-enabled engineering.

Responsibilities

• Design and build production systems across front end, APIs, backend, data, and AI.
• Diagnose production issues wherever they live: code, networks, infrastructure, data, or AI workloads.
• Engineer cloud-native platforms using containers, Kubernetes, serverless, and IaC.
• Own DevSecOps: CI/CD, security scanning, release controls, and incident response.

Skills

Production systems design

Cloud-native engineering

DevSecOps

CI/CD pipelines

Observability & incident response

Tools

Kubernetes

Terraform

Helm

AWS/Azure/GCP

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.