AI Native Engineer, Reinvention Center

Accenture

Hybrid

Quick summary

Work type
Hybrid
Location
Columbus, OHTampa, FLAtlanta, GADallas, TXScottsdale, AZ
Salary
$70,350–$235,100 / yr
Posted
2 days ago

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $204k
This role $153k
$49k most similar roles pay here $267k

This role pays less than 81% of similar roles. Most pay $162,000–$246,150 — the shaded band above. At the midpoint, this role pays about $153k versus about $204k for comparable roles.

Based on 239 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 133 open roles on FindRole.

Listed pay typically runs $84,100–$263,900 across 84 roles with salary data.

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View all roles at Accenture

At a glance

TL;DR · AI Native Engineer, Reinvention Center

As an AI Native Engineer in a hybrid role based in Columbus, OH with occasional office visits, you will join a dynamic team focused on developing cloud-native solutions for enterprise environments. Your primary responsibilities include designing and engineering robust AI agents that integrate retrieval, orchestration, policy-based routing, tool invocation, evaluation harnesses, and lifecycle observability. You will leverage your expertise in OpenAI, Claude, Vertex AI, and open-source models to build abstraction layers for multi-provider pipelines while ensuring seamless deployment through CI/CD, Terraform, Helm, and monitoring tools. Proficiency in Python or Java, along with experience in client communication and technical leadership, is essential as you work on innovative solutions that address complex business challenges at scale.

What you'll do

  • Design and engineer enterprise-ready AI agents with comprehensive features.
  • Build cloud-native solutions including APIs, microservices, and containerization.
  • Develop abstraction layers to manage multi-provider AI pipelines efficiently.
  • Program in Python or Java for evaluation tooling and observability systems.
  • Deploy production environments using CI/CD, Terraform, Helm, and monitoring.

What we're looking for

  • 3+ years of experience with cloud-native systems including APIs, microservices, and containerization.
  • 1+ year of expertise in designing and deploying agentic solutions for enterprise environments.
  • 2+ years of hands-on experience with AI platforms like OpenAI, Claude, Vertex AI, and open-source models.
  • 3+ years of programming experience in Python or Java, including evaluation tooling and observability practices.
  • 3+ years of production deployment experience using CI/CD, infrastructure as code (Terraform, Helm), monitoring, and debugging.
  • Strong client communication skills with the ability to lead technical workshops and deliver under ambiguity.

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