AI Native Software Engineer

Accenture

Confirmed live today High trust

Hybrid

Quick summary

Work type: Hybrid
Location: Columbus, OHTampa, FLAtlanta, GAChesterbrook, PADallas, TXHouston, TX
Salary: $70,350–$235,100 / yr
Employment: Full-time
Posted: 14 days ago
Freshness: Confirmed live today
Nearby: 99+ roles within 25 mi

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $178k

This role $153k

$51k $255k

below market most similar roles pay here above market

This role pays less than 62% of similar roles. Most pay $142,400–$213,125 — the blue band above. At the midpoint, this role pays about $153k versus about $178k for comparable roles.

Based on 240 similar postings.

Employer

About Accenture

Accenture is a leading global professional services company specializing in IT, strategy, consulting, and operations, with a strong focus on digital transformation, cloud computing, and artificial intelligence.

Accenture currently has 174 open roles on FindRole.

Listed pay typically runs $94,400–$266,300 across 128 roles with salary data.

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View all roles at Accenture

At a glance

TL;DR · AI Native Software Engineer

Role Posting Log in to save

The AI Native Software Engineer joins the Advanced Technology Centers team to design, build, and run AI agents that augment enterprise workflows. You will partner with client stakeholders to define use cases, rapidly prototype, and deploy robust, secure agentic workflows across complex domains like finance, healthcare, and retail. Key responsibilities include developing agent architectures with retrieval, orchestration, and lifecycle observability, as well as building abstraction layers for providers like Anthropic, Google, and OpenAI. You will utilize cloud-native technologies including Kubernetes, Docker, microservices, serverless, and event-driven architectures. Technical requirements include proficiency in Python, Java, Terraform, and Helm. You must possess experience in RAG, context engineering, and building 12-factor applications to solve technical challenges by stitching together net-new platforms and systems within diverse client environments.

Skills

Python Java Kubernetes Docker Terraform Helm OpenAI Anthropic Vertex AI Lang-graph Crew AI RAG CI/CD Microservices Serverless Event-driven Architecture APIs Infrastructure as Code Observability SDKs

What you'll do

Design and build enterprise-ready AI agents with retrieval, orchestration, and policy-based routing.
Develop and extend abstraction layers across multiple AI providers like Anthropic, Google, and OpenAI.
Implement scalable AI-native systems using Kubernetes, Docker, microservices, and serverless architectures.
Translate business workflows into agentic solutions tailored for specific industries like finance or healthcare.
Lead design workshops and code-with sessions to demonstrate agentic workflows to client stakeholders.
Define and monitor key metrics for agent accuracy, latency, safety, and cost effectiveness.
Create reusable patterns, documentation, and shared libraries to influence internal assets and client roadmaps.
Manage the end-to-end deployment, monitoring, and troubleshooting of AI services in production environments.

What we're looking for

Minimum of 3 years of engineering experience with cloud-native systems including APIs, microservices, containerization, and serverless.
Minimum of 1 year of hands-on experience designing and deploying agentic solutions in production or near-production environments.
Minimum of 1 year of experience with modern AI platforms like OpenAI, Claude, or Vertex AI.
Minimum of 3 years of experience building 12-factor applications using Python, Java, or equivalent languages.
Minimum of 3 years of experience with Infrastructure as Code tools such as Terraform and Helm.
Minimum of 3 years of experience in client-facing communication, including leading technical discussions and workshops.
Bachelor's degree in Computer Science, Engineering, or equivalent (or 12 years experience with a Bachelor's, or 6 years with an Associate's).
Relevant AI certifications or agentic tooling experience are a plus (preferred).

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