AI-Native Engineer for Enterprise Agentic Workflows

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

Benefits offered by this job

Medical insurance

Dental coverage

Vision coverage

Life insurance

Long-term disability

401(k)

Bonus opportunities

Paid holidays

Paid time off

Job summary

Accenture is seeking an AI Native Engineer to design, build, and run agentic AI solutions embedded with enterprise clients in a hybrid Columbus, OH environment. You will shape playbooks for adoption and scale across global enterprises, collaborating with stakeholders to define use cases and prototype in rapid cycles.

You will lead design workshops, deploy agentic workflows, and ensure robust, secure production systems through thoughtful orchestration, evaluation, and observability.

Qualifications

• 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 leading technical workshops under ambiguity.
• Minimum of 2 years experience with AI platforms — OpenAI, Claude, Vertex AI, plus open-source models.
• 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.

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.
• 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.

Skills

Cloud-native engineering

Python

Java

Agentic systems

CI/CD

Client communication

Evaluation tooling

Education

Bachelor's degree or equivalent

Tools

Kubernetes

Docker

Terraform

Helm

Job description

Accenture is seeking an AI Native Engineer to design, build, and run agentic AI solutions embedded with enterprise clients in a hybrid Columbus, OH environment. You will shape playbooks for adoption and scale across global enterprises, collaborating with stakeholders to define use cases and prototype in rapid cycles.

You will lead design workshops, deploy agentic workflows, and ensure robust, secure production systems through thoughtful orchestration, evaluation, and observability.