AI-Native Agentic Systems Lead — Enterprise

Accenture PLC; Miami (FL); On-site; USD 100,000 - 300,000; Full time

Job summary

Accenture is seeking an AI Native Engineer with 5+ years of experience to design, build, and operate agentic workflows for enterprise clients. You will embed with customers as technologist and trusted advisor, shaping use cases, prototyping rapidly, and deploying robust, secure AI agents that scale across modern infrastructure.

You will integrate with major AI platforms, orchestrate multi-provider pipelines, and contribute to playbooks for enterprise adoption.

Qualifications

• 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 5 years experience programming in Python, Java, or equivalent; familiarity with evaluation tooling, logging, monitoring, and agent observability.
• Minimum of 5 years experience deploying to production — CI/CD, infrastructure as code (Terraform, Helm), monitoring, and debugging.
• Minimum of 5 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)

Responsibilities

• Agent Architecture and Engineering: Design enterprise-ready AI agents with retrieval, orchestration, policy-based routing, tool invocation, evaluation harnesses, and observability.
• AI Platform Integration: Develop abstraction layers across AI providers to enable seamless integration and enablement.
• Cloud-Native Engineering: Leverage Kubernetes, Docker, microservices, serverless, event-driven architectures, CI/CD, and observability for scalable AI-native systems.
• Domain-Specific Workflows: Deploy agentic apps across verticals like finance, healthcare, and retail addressing domain processes.
• Client Engagement: Conduct design workshops, POCs, and code-with sessions to shape data-driven agent workflows with stakeholders.
• Measure & Improve: Define metrics, test harnesses, and evaluation plans to measure agent accuracy, latency, safety, and cost.
• Knowledge Sharing: Craft reusable patterns, docs, and best practices to influence assets and client roadmaps.

Skills

Cloud-native

Agentic design

Python/Java

Client communication

Workshops & POCs

AI platforms

Education

Bachelor's degree or equivalent

Tools

Kubernetes

Docker

Terraform

Helm

Job description

Accenture is seeking an AI Native Engineer with 5+ years of experience to design, build, and operate agentic workflows for enterprise clients. You will embed with customers as technologist and trusted advisor, shaping use cases, prototyping rapidly, and deploying robust, secure AI agents that scale across modern infrastructure.

You will integrate with major AI platforms, orchestrate multi-provider pipelines, and contribute to playbooks for enterprise adoption.