AI Native Engineering Manager — Agentic Platforms

Accenture; Raleigh (NC); On-site; USD 120,000 - 190,000; Full time

Job summary

Accenture is seeking an AI Native Engineer with 5+ years of experience building cloud-native solutions and agentic systems for enterprise environments. You will embed with clients as technologist and trusted advisor, define use cases, prototype, and deploy agentic workflows that are robust, secure, and scalable in complex settings.

You will design architectures, integrate AI platforms, ensure observability, and lead workshops to drive adoption across industries.

Qualifications

• 3+ years engineering experience with cloud-native systems (APIs, microservices, containerization, serverless).
• 1 year expertise in designing and deploying agentic solutions (agents, orchestration, context engineering, RAG, workflows) in production environments.
• 2 years experience with AI platforms - OpenAI, Claude, Vertex AI, plus open-source models - including building abstraction layers to manage multi-provider pipelines.
• 5 years experience programming in Python, Java, or equivalent; familiarity with evaluation tooling, logging, monitoring, and agent observability.
• 5 years deploying to production - CI/CD, infrastructure as code (Terraform, Helm), monitoring, and debugging.
• 5 years experience with client communication and collaboration, including 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 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 (Anthropic, Google, OpenAI, etc.) 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 systems

agentic engineering

Python/Java

CI/CD

client communication

lead workshops

Education

Bachelor's degree or equivalent

Tools

Kubernetes

Docker

Terraform

Helm

OpenAI

Claude

Vertex AI

Job description

Accenture is seeking an AI Native Engineer with 5+ years of experience building cloud-native solutions and agentic systems for enterprise environments. You will embed with clients as technologist and trusted advisor, define use cases, prototype, and deploy agentic workflows that are robust, secure, and scalable in complex settings.

You will design architectures, integrate AI platforms, ensure observability, and lead workshops to drive adoption across industries.