AI Native Engineer - Enterprise Agentic AI

Accenture PLC; Saint Petersburg (FL); Hybrid; USD 90,000 - 210,000; Full time

Job summary

Accenture is seeking an AI Native Engineer who designs, builds, and runs agentic AI systems for enterprise environments. You will lead complex agentic solutions and own critical technical areas end-to-end in hybrid settings.

The role partners with client stakeholders as technologist and trusted advisor, prototyping use cases and deploying robust workflows that scale across modern infrastructure. Travel may be required.

Qualifications

• 3+ years of engineering in cloud-native systems (APIs, microservices, containerization, serverless).
• 1+ year designing and deploying agentic solutions (agents, orchestration, RAG, workflows).
• 1+ year with modern AI platforms (OpenAI, Claude, Vertex AI) including multi-provider abstraction layers.
• 3+ years Python/Java and 12-factor apps + IaC (Terraform, Helm).
• 3+ years client-facing communication and collaboration in ambiguity.

Responsibilities

• Design and build enterprise-ready AI agents with retrieval, orchestration, routing, tool invocation and observability.
• Deliver robust, testable agentic workflows in production environments.
• Integrate AI providers (Anthropic, Google, OpenAI) across platforms and libraries.
• Develop cloud-native infra with containers, microservices, serverless, CI/CD, and monitoring.
• Tailor agentic solutions across industries and translate workflows with client SMEs.
• Lead workshops, POCs, and delivery sessions; communicate trade-offs to technical and non-technical audiences.
• Define metrics and evaluation plans to measure accuracy, latency, safety, and cost.

Skills

Cloud-native

Agentic engineering

Python

Java

Terraform

Kubernetes

CI/CD

OpenAI

Education

Bachelor's in CS/Engineering

Tools

Kubernetes

Docker

Job description

Accenture is seeking an AI Native Engineer who designs, builds, and runs agentic AI systems for enterprise environments. You will lead complex agentic solutions and own critical technical areas end-to-end in hybrid settings.

The role partners with client stakeholders as technologist and trusted advisor, prototyping use cases and deploying robust workflows that scale across modern infrastructure. Travel may be required.