AI-Native Engineering Lead: Enterprise Agentic Systems

Accenture; Arlington (VA); On-site; USD 87,000 - 291,000; Full time

Job summary

Accenture is seeking an AI Native Engineer to join our team in the United States. You will design and deploy agentic AI workflows that scale across enterprise environments, embedding with clients as a trusted technologist and advisor.

Bring 5+ years in cloud-native engineering, deep expertise in agentic systems, and strong Python/Java skills. You’ll shape architectures, drive production deployments, and collaborate with ecosystem partners to deliver robust, secure solutions.

Qualifications

• Minimum of 3 years engineering experience with cloud-native systems.
• Minimum of 1 year expertise in designing and deploying agentic solutions.
• Minimum of 2 years experience with AI platforms - OpenAI, Claude, Vertex AI, plus open-source models.
• 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 work experience.

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 (Kubernetes, Docker), 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 - e.g., finance, healthcare, retail - 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 key metrics, test harnesses, and evaluation plans to measure agent accuracy, latency, safety, and cost effectiveness.
• Knowledge Sharing: Craft reusable patterns, documentation, and best practices to influence internal assets and client roadmaps.

Skills

Cloud-native

Agentic systems

AI platforms

Python/Java

Client engagement

Education

Bachelor's degree or equivalent

Tools

Kubernetes

Docker

CI/CD

Job description

Accenture is seeking an AI Native Engineer to join our team in the United States. You will design and deploy agentic AI workflows that scale across enterprise environments, embedding with clients as a trusted technologist and advisor.

Bring 5+ years in cloud-native engineering, deep expertise in agentic systems, and strong Python/Java skills. You’ll shape architectures, drive production deployments, and collaborate with ecosystem partners to deliver robust, secure solutions.