AI-Native Engineer – Enterprise Agentic AI in the Cloud

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

Job summary

Archer, in collaboration with Accenture, seeks an AI Native Engineer to design and deploy agentic systems in enterprise environments. You’ll be a critical thinker delivering concrete results by building AI agents that augment workflows and scale across modern infrastructure.

You’ll partner with client stakeholders to define use cases, prototype quickly, and deploy robust, secure agentic workflows. Familiarity with cloud-native tech (Kubernetes, Docker) and multi-provider AI platforms is

Qualifications

• 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)

Responsibilities

• Partner with client stakeholders — acting as both technologist and trusted advisor.
• Define use cases, rapidly prototype, and deploy agentic workflows that are robust, secure, and operational in complex enterprise domains.
• Design and build enterprise-ready AI agents incorporating retrieval, orchestration, policy-based routing, tool invocation, evaluation harnesses, and lifecycle observability.
• Develop and/or extend abstraction layers across AI providers to enable seamless integration and multi-provider enablement.

Skills

Cloud-native engineering

Agentic workflows

Python

Java

Education

Bachelor's degree in Computer Science, Engineering or equivalent

Tools

Kubernetes

Docker

Terraform

Helm

Job description

Archer, in collaboration with Accenture, seeks an AI Native Engineer to design and deploy agentic systems in enterprise environments. You’ll be a critical thinker delivering concrete results by building AI agents that augment workflows and scale across modern infrastructure.

You’ll partner with client stakeholders to define use cases, prototype quickly, and deploy robust, secure agentic workflows. Familiarity with cloud-native tech (Kubernetes, Docker) and multi-provider AI platforms is