AI Native Engineer - Reinvention Center

Accenture; Saint Petersburg (FL); Hybrid; USD 120,000 - 210,000; Full time

Job summary

Accenture in the United States is seeking an AI Native Engineer with cloud-native experience to design, build, and deploy agentic systems for enterprise environments. You will partner with clients to define use cases, prototype quickly, and deliver robust, scalable AI-powered workflows integrated with modern infrastructure.

The role combines technologist and trusted adviser duties, requiring collaboration with stakeholders, strong coding skills in Python or Java, and hands-on production

Qualifications

• Minimum of 3 years engineering experience with cloud-native systems.
• Minimum of 3 years programming in Python or Java, with tooling for observability.
• Minimum of 3 years deploying to production with CI/CD and IaC.
• Minimum of 2 years experience with AI platforms and multi-provider pipelines.
• Bachelor's degree or equivalent work experience.

Responsibilities

• Design and engineer enterprise-ready AI agents including orchestration and lifecycle observability.
• AI Platform Integration across providers to enable seamless enablement.
• Cloud-Native Engineering using Kubernetes, Docker, microservices, serverless and CI/CD.
• Deploy agentic workflows across verticals with robust security and reliability.
• Lead design workshops, POCs, and code-with sessions with stakeholders.
• Define metrics and evaluation plans to measure accuracy, latency, safety, and cost.
• Craft reusable patterns and documentation to influence client roadmaps.

Skills

Cloud-native

Python

Java

CI/CD

Observability

Education

Bachelor's degree or equivalent

Tools

Kubernetes

Docker

Terraform

Helm

Job description

We are:

The Advanced Technology Centers (ATCs) is the engine for reinvention in our clients’ transformation journey. Powered by more than 255,000* people across 24 countries, ATCs will provide our clients with seamless access to industry insights and innovative technology solutions.

Stronger together!

The value for our clients and our people

For our clients, the Network provides the strength of our geographic diversity, greater resilience, and seamless access to the deepest industry knowledge, the latest in Gen AI solutions, and tech expertise from around the world.

For our people, it brings an opportunity to shape truly boundaryless career paths in a highly collaborative team of experts where they can learn from each other and solve the world’s most complex client challenges

You are:

An AI Native Engineer with experience building cloud-native solutions, and deep expertise in designing and deploying agentic systems, especially for enterprise environments. You are a critical thinker that thrives in ambiguity, delivering concrete results by designing, building, and running custom AI agents that augment workflows and scale across modern infrastructure. You’ll help shape the playbook for how enterprises adopt and scale AI-native engineering globally.

The Work:

You’ll embed directly with clients — acting as both technologist and trusted advisor. You’ll partner with stakeholders to define use cases, rapidly prototype, and deploy agentic workflows that are robust, secure, and operational in complex enterprise domains. Often, these will be completely net new platforms and systems that need to be stitched together in our clients' environments alongside our Ecosystem partners.

Responsibilities:

• Design and engineer enterprise-ready AI agents encompassing retrieval, orchestration, policy-based routing, tool invocation, evaluation harnesses, and lifecycle observability.
• AI Platform Integration: Develop abstraction layers across AI providers (Anthropic, Google, OpenAI, etc. ) to enable seamless integration and enablement.
• Cloud-Native Engineering: Leverage containerization (Kubernetes, Docker), microservices, serverless, event-driven architectures, CI/CD, and observability to deliver scalable AI-native systems.
• Domain-Specific Workflows: Tailor and deploy agentic applications across verticals — e.g., finance, healthcare, retail — addressing domain-specific processes via intelligent automation.
• Client Engagement: Conduct design workshops, POCs, and code-with sessions to shape data-driven agent workflows with stakeholders, fostering trust and adoption.
• Measure & Improve: Define and use key metrics, test harnesses, and evaluation plans to measure agent accuracy, latency, safety, and cost effectiveness.
• Knowledge Sharing: Craft reusable patterns, documentation, and best practices to influence internal assets and client roadmaps

This is a hybrid role in Columbus, OH and requires 3 days per week in the office. May consider qualified applicants in Tampa, FL; Atlanta, GA; Dallas, TX or Houston, TX.

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 3 years engineering experience with cloud-native systems (APIs, microservices, containerization, serverless).
• Minimum of 3 years experience programming in Python, Java, or equivalent; familiarity with evaluation tooling, logging, monitoring, and agent observability.
• Minimum of 3 years experience deploying to production — CI/CD, infrastructure as code (Terraform, Helm), monitoring, and debugging.
• Minimum of 3 years experience with client communication and collaboration, including being capable of leading technical workshops and delivering under ambiguity.
• Minimum of 2 years experience with AI platforms — OpenAI, Claude, Vertex AI, plus open-source models — including building abstraction layers to manage multi-provider pipelines.
• Minimum of 1 year expertise in designing and deploying agentic solutions (agents, orchestration, context engineering, RAG, workflows) in production environments.
• Bachelor's degree 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 be hired as set forth below.We anticipate this job posting will be posted until 11/06/2026.

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 (https://www.accenture.com/us-en/careers/local/benefits)

Role Location Annual Salary Range

California $70,350 to $235,100

Colorado $63,800 to $203,100

Connecticut $63,800 to $203,100

District of Columbia $68,000 to $216,300

Illinois $59,100 to $203,100

Maine $54,400 to $173,100

Maryland $63,800 to $203,100

Massachusetts $63,800 to $216,300

Minnesota $63,800 to $203,100

New York $66,300 to $235,100

New Jersey $68,000 to $235,100

Ohio $59,100 to $188,100

Virginia $59,100 to $216,300

Washington $80,200 to $216,300

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If you would like to be considered for employment opportunities with Accenture and have accommodation needs such as for a disability or religious observance, please call us toll free at 1 [phone] or send us an email or speak with your recruiter.

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We believe that no one should be discriminated against because of their differences.All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.

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Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States.

Candidates who are currently employed by a client of Accenture or an affiliated Accenture business may not be eligible for consideration.

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