AI Native Engineer - Reinvention Center

Accenture; Columbus (OH); On-site; USD 113,000 - 188,000; Full time

Benefits offered by this job

Health benefits

Job summary

Accenture is seeking an AI Native Engineer to design, build, and deploy agentic workflows for enterprise environments. You will work directly with clients as technologist and trusted advisor to prototype and implement robust AI agents within complex enterprise estates.

You’ll drive design workshops, POCs, and collaborative sessions, shaping data-driven patterns and scalable playbooks for global adoption. This role emphasizes delivery, security, and measurable outcomes.

Qualifications

• 3+ years engineering experience with cloud-native systems.
• Minimum 1 year designing and deploying agentic solutions in production.
• Minimum 2 years experience with AI platforms (OpenAI, Anthropic, Vertex AI) including multi-provider abstractions.
• 3+ years programming in Python, Java, or equivalent; familiarity with logging, monitoring, and observability.
• 3+ years deploying to production — CI/CD, IaC (Terraform, Helm), monitoring, debugging.
• 3+ years experience with client communication and leading technical workshops.
• Bachelor's degree or equivalent (min 12 years) work experience.

Responsibilities

• Design and engineer enterprise-ready AI agents including retrieval, orchestration, policy routing, tool invocation, evaluation harnesses, and observability.
• AI Platform Integration: build abstraction layers across providers to enable seamless integration.
• Cloud-native engineering: utilize Kubernetes, Docker, microservices, serverless, CI/CD, and observability for scalable AI-native systems.
• Tailor agentic workflows across verticals like finance, healthcare, and retail.
• Engage clients via workshops, POCs, and code-with sessions to drive adoption.
• Define metrics and evaluation plans to measure accuracy, latency, safety, and cost.

Skills

Cloud-native systems

Agentic solutions

Python/Java

CI/CD

Client collaboration

Observability

AI platform integration

Education

Bachelor's degree or equivalent

Tools

Kubernetes

Docker

Terraform

Helm

OpenAI

Anthropic

Vertex AI

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.

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 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

Here’s What You Need:

• Minimum of 3 years engineering experience with cloud-native systems (APIs, microservices, containerization, serverless).
• Minimum of 1 year expertise in designing and deploying agentic solutions (agents, orchestration, context engineering, RAG, workflows) in production environments.
• 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 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.
• 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 06/22/2026.

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
• Cleveland $59,100 to $188,100
• Colorado $63,800 to $203,100
• District of Columbia $68,000 to $216,300
• Illinois $59,100 to $203,100
• 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
• Washington $80,200 to $216,300

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