AI Native Engineer

You Are

An AI Native Engineer with strong experience building cloud-native solutions and deep expertise in designing and deploying agentic systems for enterprise environments. You thrive in ambiguity and deliver concrete results by designing, building, and running custom AI agents that augment workflows and scale across modern infrastructure.

The Work

You will embed directly with clients as both technologist and trusted advisor. You will partner with stakeholders to define use cases, rapidly prototype, and deploy agentic workflows that are robust, secure, and operational in complex enterprise domains.

Responsibilities

• Design and engineer enterprise-ready AI agents encompassing retrieval, orchestration, policy-based routing, tool invocation, evaluation harnesses, and lifecycle observability.
• Develop abstraction layers across AI providers (Anthropic, Google, OpenAI, etc.) to enable seamless integration.
• Leverage containerization, microservices, serverless, and event-driven architectures to deliver scalable AI-native systems.
• Tailor and deploy agentic applications across industries such as finance, healthcare, and retail.
• Conduct design workshops, proofs of concept, and code-with sessions with client stakeholders.
• Define and use metrics to measure agent accuracy, latency, safety, and cost effectiveness.
• Leverage enterprise agentic tools such as GitHub Copilot, Claude Code, and OpenAI Codex to automate phases of the software development lifecycle (SDLC).

This is a hybrid role in Columbus, OH, Dallas, TX, Atlanta, GA, Tampa, FL OR Scottsdale, AZ and will require 3 days per week in the office.

Travel may be required for this role. The amount of travel will vary from 25% to 75% depending on business need and client requirements.

Here's What You Need:

• Minimum of 10 years of experience building cloud-native systems including APIs, microservices, and serverless architectures.
• Minimum 1 year of experience designing and deploying agentic AI solutions in production environments.
• Minimum of 1 year of experience with agentic orchestration tools such as LangGraph, CrewAI, AutoGen, or similar frameworks.
• Experience working with AI platforms including OpenAI, Claude, Vertex AI, and open-source models.
• Minimum of 10 years Python, Java, or equivalent programming experience.
• Experience deploying and operating production systems with CI/CD, infrastructure as code, and observability tooling.
• Bachelor's degree in Computer Science, Engineering, or equivalent (minimum 12 years) work experience. (If Associate Degree, must have minimum 6 years work experience)

Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience. As required by local law, Accenture provides a reasonable range of compensation for roles that may behired as set forth below. We anticipate this job posting will be posted until 05/31/2026.

Accenture offers a market competitive suite of benefits including medical, dental, vision, life, and long-term disability coverage, a 401(k) plan, bonus opportunities, paid holidays, and paid time off. See more information on our benefits here:

U.S. Employee Benefits | Accenture

Role Location Annual Salary Range California $132,500 to $366,300 Cleveland $122,700 to $293,000 Colorado $132,500 to $316,400 District of Columbia $141,100 to $337,000 Illinois $122,700 to $316,400 Maryland $132,500 to $316,400 Massachusetts $132,500 to $337,000 Minnesota $132,500 to $316,400 New York $122,700 to $366,300 New Jersey $141,100 to $366,300 Washington $141,100 to $337,000

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