AI Native Software Engineer

Accenture; Columbus (OH); Hybrid; USD 59,000 - 188,000; Full time

Job summary

Accenture in Columbus, OH is seeking an AI Native Engineer who designs and deploys agentic, cloud-native AI systems for enterprise contexts. You will work with client stakeholders, define use cases, prototype rapidly, and deliver robust, secure workflows across complex environments.

Responsibilities include building enterprise-ready agents, integrating AI platforms, leveraging Kubernetes, Docker, Terraform, and Helm, and shaping scalable patterns across industries. Travel may be required.

Qualifications

• Minimum of 3 years engineering with cloud-native systems (APIs, microservices, containerization, serverless).
• Minimum of 1 year designing and deploying agentic solutions in production or near-production environments.
• Minimum of 1 year with modern AI platforms (OpenAI, Claude, Vertex AI) including multi-provider pipelines.
• Minimum of 3 years experience in client-facing communication and collaboration, including leading technical discussions or delivery sessions under ambiguity.
• Bachelor’s degree in CS/engineering or equivalent OR equivalent (minimum 12 years) work experience.

Responsibilities

• Design and build enterprise-ready AI agents with retrieval, orchestration, policy-based routing, tool invocation, evaluation harnesses, and lifecycle observability.
• Implement resilient, testable, and maintainable agentic workflows that can be iterated on quickly.
• Extend abstraction layers across AI providers to enable seamless multi-provider integration.
• Own deployment, monitoring, and troubleshooting for services in production.
• Collaborate with client SMEs to translate business workflows into agentic solutions.
• Define and use key metrics, test harnesses, and evaluation plans to measure agent accuracy, latency, safety, and cost effectiveness.

Skills

Cloud-native engineering

Agentic solutions design

OpenAI/Claude/Vertex AI experience

Python/Java development

Client-facing communication

Leadership in ambiguity

Education

Bachelor’s degree in Computer Science or Engineering 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 Advanced Technology Centers (ATCs) make tremendous impact in solving our clients’ business problems leveraging Innovation, Intelligence, Industry insights, new IT and new technology skills. Now, with the global environment changing at a faster pace, our clients are facing unprecedented challenges, and they need us more than ever before. As a Network, ATCs are positioned to unlock greater opportunities and exponential value for our clients.

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 a strong foundation in building cloud-native solutions and hands-on experience designing and deploying agentic systems, especially for enterprise environments. You’re a critical thinker who thrives in ambiguity, delivering concrete results by designing, building, and running AI agents that augment workflows and scale across modern infrastructure.

You’ll shape how enterprises adopt AI-native engineering - either by leading complex agentic solutions and developing engineering talent, or by owning critical technical areas end-to-end as a senior IC.

The Work

You’ll partner directly with client stakeholders — 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 net-new platforms and systems that need to be stitched together in our clients’ environments alongside our ecosystem partners.

Agent Architecture & Engineering

• Design and build enterprise-ready AI agents incorporating retrieval, orchestration, policy-based routing, tool invocation, evaluation harnesses, and lifecycle observability.
• Implement resilient, testable, and maintainable agentic workflows that can be iterated on quickly.

AI Platform Integration

• Develop and/or extend abstraction layers across AI providers (Anthropic, Google, OpenAI, etc.) to enable seamless integration and multi-provider enablement.
• Contribute to shared libraries, SDKs, and patterns that can be reused across clients.

Cloud-Native Engineering

• Leverage containerization (Kubernetes, Docker), microservices, serverless, event-driven architectures, CI/CD, and observability stacks to deliver scalable AI-native systems.
• Own deployment, monitoring, and troubleshooting for your services in production.

Domain-Specific Workflows

• Tailor and deploy agentic applications across verticals (e.g., finance, healthcare, retail), adapting to domain-specific processes and constraints.
• Work closely with client SMEs to translate business workflows into agentic solutions.

Client Engagement

• Participate in and/or lead design workshops, POCs, and code-with sessions to shape data-driven agent workflows with stakeholders, fostering trust and adoption.
• Communicate trade-offs, risks, and recommendations clearly to both technical and non-technical audiences.

Measure & Improve

• Define and use key metrics, test harnesses, and evaluation plans to measure agent accuracy, latency, safety, and cost effectiveness.
• Iterate rapidly based on data, feedback, and changing requirements.

Knowledge Sharing

• Craft reusable patterns, documentation, and best practices that influence internal assets and client roadmaps.
• Contribute to internal communities of practice around AI-native and agentic engineering.

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; Chesterbrook, PA; 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 of engineering experience with cloud-native systems (APIs, microservices, containerization, serverless).
• Minimum of 1 year of hands-on experience designing and deploying agentic solutions (agents, orchestration, context engineering, RAG, workflows) in production or near-production environments.
• Minimum of 1 year of experience with modern AI platforms — OpenAI, Claude, Vertex AI, or open-source models — including building or using abstraction layers for multi-provider pipelines.
• Minimum of 3 years strong Python, Java or equivalent experience building 12 factor applications + Infrastructure as Code (Terraform, Helm)
• Minimum of 3 years of experience in client-facing communication and collaboration, including leading technical discussions, workshops, or delivery sessions under ambiguity.
• Bachelor’s degree in Computer Science, Engineering or equivalent OR equivalent (minimum 12 years) work experience. (If Associate’s Degree, must have minimum 6 years work experience)

Bonus Points If You Have

• Relevant AI certifications or agentic tooling experience are a plus.
• You’ve served as an Agentic / AI Engineer in an enterprise environment.
• You’ve built multi agent orchestrations using (Lang-graph, Crew AI, Claude SDK, Open AI SDK, etc).
• Have a GitHub repo with an agent/plugins you have created.
• You have additional AI certifications or experience with agentic tooling and frameworks.
• You’ve defined or worked with enterprise-grade architectures for compound AI systems, orchestration frameworks, or agent registry / stream-based architectures.
• You understand the AI-native paradigm — blending cloud-native with generative model architectures — optimizing for performance, modularity, and efficiency.
• You’ve delivered solutions across multiple industries (e.g., finance, healthcare) by tailoring agentic workflows to industry needs.
• Driven execution across multiple workstreams, ensuring quality, delivery, and alignment with client outcomes.

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 11/27/2026. 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 $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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