AI Native Engineer for Enterprise Agentic Systems

Accenture PLC; Atlanta (GA); Hybrid; USD 140,000 - 210,000; Full time

Benefits offered by this job

Medical, dental, vision benefits

401(k) plan

Bonus opportunities

Paid holidays

Paid time off

Job summary

Accenture PLC is seeking an AI Native Engineer to architect and deploy agentic, cloud-native AI solutions for enterprise environments. You will collaborate with client stakeholders to define use cases, prototype rapidly, and deliver robust agent-driven workflows that integrate with multiple providers.

You will own the end-to-end engineering of AI agents, ensure secure, scalable deployments, and contribute to internal libraries while guiding delivery workshops to drive client adoption.

Qualifications

• Minimum of 2 years of engineering experience with cloud-native systems (APIs, microservices, containerization, serverless).
• Minimum of 2 years strong Python, Java or equivalent experience building 12 factor applications + Infrastructure as Code (Terraform, Helm).
• Minimum of 6 months of hands-on experience designing and deploying agentic solutions (agents, orchestration, context engineering, RAG, workflows) in production or near-production environments.
• Minimum of 6 months 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 1 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 to define use cases, prototype, and deploy agentic workflows that are secure and operational in enterprise environments.
• Design and build enterprise-ready AI agents with retrieval, orchestration, policy-based routing, tool invocation, and observability.
• Own deployment, monitoring, and troubleshooting of services in production.
• Collaborate on AI platform integrations across providers and contribute to shared libraries and SDKs.
• Lead design workshops, POCs, and delivery sessions to drive adoption of agentic workflows.
• Define metrics and evaluation plans to measure AI agent performance, latency, safety, and cost.

Skills

Cloud-native engineering

Python

Java

Agentic AI

Client-facing communication

Education

Bachelor's degree in Computer Science, Engineering or equivalent

Tools

Kubernetes

Docker

Terraform

Helm

CI/CD

Job description

Accenture PLC is seeking an AI Native Engineer to architect and deploy agentic, cloud-native AI solutions for enterprise environments. You will collaborate with client stakeholders to define use cases, prototype rapidly, and deliver robust agent-driven workflows that integrate with multiple providers.

You will own the end-to-end engineering of AI agents, ensure secure, scalable deployments, and contribute to internal libraries while guiding delivery workshops to drive client adoption.