AI Native Engineer

Accenture

Confirmed live today High trust
Hybrid

Quick summary

Work type
Hybrid
Location
Columbus, OHSt. Pete, FLAtlanta, GADallas, TXScottsdale, AZ
Salary
$70,350–$235,100 / yr
Posted
2 days ago
Freshness
Confirmed live today

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $203k
This role $153k
$49k most similar roles pay here $267k

This role pays less than 78% of similar roles. Most pay $159,225–$246,037 — the shaded band above. At the midpoint, this role pays about $153k versus about $203k 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 204 open roles on FindRole.

Listed pay typically runs $94,400–$266,300 across 177 roles with salary data.

Most-posted roles

View all roles at Accenture

At a glance

TL;DR · AI Native Engineer

AI Native Engineer - Reinvention Center The AI Native Engineer joins the Reinvention Center team to design, build, and run custom AI agents that automate workflows and scale across modern infrastructure. This role involves embedding with clients as a technologist and advisor to prototype and deploy robust agentic systems in complex enterprise domains like finance, healthcare, and retail. You will develop abstraction layers for providers such as Anthropic, Google, and OpenAI while utilizing cloud-native technologies including Kubernetes, Docker, microservices, and serverless architectures. Key responsibilities include engineering retrieval, orchestration, and policy-based routing, alongside managing CI/CD pipelines with Terraform and Helm. The role requires proficiency in Python or Java to build production-ready systems featuring RAG, context engineering, and lifecycle observability. You will solve the challenge of integrating net new platforms into existing client environments while ensuring safety, accuracy, and cost-effectiveness.

What you'll do

  • Design and engineer enterprise-ready AI agents featuring retrieval, orchestration, and lifecycle observability.
  • Develop abstraction layers across multiple AI providers to enable seamless integration into client systems.
  • Build scalable, cloud-native AI systems using containerization, microservices, and event-driven architectures.
  • Tailor and deploy agentic applications to solve specific problems in sectors like finance, healthcare, and retail.
  • Lead design workshops and "code-with" sessions to define use cases and build trust with stakeholders.
  • Establish evaluation plans to measure agent accuracy, latency, safety, and cost effectiveness.
  • Create reusable patterns and documentation to influence internal assets and client roadmaps.

What we're looking for

  • Minimum of 3 years engineering experience with cloud-native systems including APIs, microservices, containerization, and serverless.
  • Minimum of 3 years programming experience in Python, Java, or equivalent.
  • Minimum of 3 years experience deploying to production using CI/CD, infrastructure as code (Terraform, Helm), monitoring, and debugging.
  • Minimum of 3 years experience with client communication, including leading technical workshops and delivering under ambiguity.
  • Minimum of 2 years experience with AI platforms such as OpenAI, Claude, Vertex AI, and open-source models.
  • Minimum of 1 year expertise in designing and deploying agentic solutions like RAG and orchestration in production environments.
  • Bachelor's degree or equivalent (minimum 12 years) work experience; if an Associate Degree is held, a minimum of 6 years work experience is required.

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