AI Native Software Engineer

Accenture

Quick summary

Work type
On-site
Location
CA · OH · CO · DC · IL · MD · MA · MN · NY · NJ · WA
Salary
$70,350–$235,100 / yr
Posted
43 days ago

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $177k
This role $153k
$51k most similar roles pay here $255k

This role pays less than 68% of similar roles. Most pay $142,400–$211,200 — the shaded band above. At the midpoint, this role pays about $153k versus about $177k 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 131 open roles on FindRole.

Listed pay typically runs $94,400–$235,100 across 89 roles with salary data.

Most-posted roles

View all roles at Accenture

At a glance

TL;DR · AI Native Software Engineer

As an AI Native Engineer at a leading services company, you will join a dynamic team of innovators focused on delivering cutting-edge agentic solutions to enterprise clients. Your role involves designing and deploying resilient, scalable AI agents that integrate seamlessly with existing cloud infrastructure, using technologies like Kubernetes, Docker, and serverless architectures. You’ll work closely with client stakeholders to tailor agentic workflows for various industries such as finance and healthcare, ensuring efficient deployment and continuous improvement through iterative development cycles. Essential skills include hands-on experience with cloud-native systems, AI platforms, and strong programming in Python or Java, alongside expertise in Infrastructure as Code tools like Terraform and Helm. This role demands a blend of technical acumen and client-facing communication to drive successful project outcomes across diverse business contexts.

What you'll do

  • Design and build enterprise-ready AI agents with retrieval, orchestration, and policy-based routing.
  • Develop abstraction layers for seamless integration of multiple AI providers in client environments.
  • Tailor agentic applications to specific industry workflows and constraints, such as finance or healthcare.
  • Lead design workshops and proof-of-concept sessions to shape data-driven agent workflows with stakeholders.
  • Define and use key metrics to measure the accuracy, latency, safety, and cost-effectiveness of agents.

What we're looking for

  • 3+ years of experience with cloud-native systems including APIs, microservices, containerization.
  • 1+ year hands-on experience designing and deploying agentic solutions in production environments.
  • 1+ year experience with modern AI platforms like OpenAI, Claude, Vertex AI, or open-source models.
  • Strong Python or Java skills for building 12-factor applications and Infrastructure as Code.
  • Proven ability to communicate technical concepts to both technical and non-technical stakeholders.
  • Bachelor's degree in Computer Science, Engineering, or equivalent work experience.

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