AI-Native Full-Stack Engineering Lead

Accenture PLC; St. Louis (MO); On-site; USD 87,000 - 316,000; Full time

Job summary

Accenture PLC is seeking an AI Native Engineer with 5+ years of experience to design, build, and run agentic workflows in enterprise environments. You will embed with clients and shape scalable AI-native platforms.

Responsibilities include agent architecture, cloud-native integration across providers, multi-provider tooling, and delivering robust, secure workflows across finance, health care, and retail sectors. Travel may be required; strong collaboration is essential.

Qualifications

• Minimum 3 years engineering experience with cloud-native systems (APIs, microservices, containerization, serverless).
• Minimum 1 year expertise in designing and deploying agentic solutions in production environments.
• Minimum 2 years experience with AI platforms — OpenAI, Claude, Vertex AI, plus open-source models.
• Minimum 5 years experience programming in Python, Java, or equivalent; familiarity with evaluation tooling, logging, monitoring, and agent observability.
• Minimum 5 years experience deploying to production — CI/CD, infrastructure as code (Terraform, Helm), monitoring, and debugging.

Responsibilities

• Agent Architecture and Engineering: 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 to enable seamless integration and enablement.
• Cloud-Native Engineering: Leverage containerization, 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 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 metrics, test harnesses, and evaluation plans to measure agent accuracy, latency, safety, and cost.

Skills

Python

Cloud-native

Agentic systems

OpenAI/AI platforms

Cross-functional collaboration

Education

Bachelor's degree or equivalent

Tools

Kubernetes

Docker

Terraform

CI/CD

Job description

Accenture PLC is seeking an AI Native Engineer with 5+ years of experience to design, build, and run agentic workflows in enterprise environments. You will embed with clients and shape scalable AI-native platforms.

Responsibilities include agent architecture, cloud-native integration across providers, multi-provider tooling, and delivering robust, secure workflows across finance, health care, and retail sectors. Travel may be required; strong collaboration is essential.