AI-Native Engineering Manager for Enterprise Agentic Platforms

Accenture; Cincinnati (OH); On-site; USD 90,000 - 210,000; Full time

Job summary

Accenture is seeking an AI Native Engineer with at least 5 years of experience designing and deploying agentic systems for enterprise environments. You will embed with clients, define use cases, prototype, and deploy robust AI agent workflows that integrate across complex enterprise ecosystems.

You will collaborate with stakeholders, build scalable, secure platforms, and help scale AI-native playbooks globally. Expect travel; strong emphasis on delivering concrete results in ambiguous settings.

Qualifications

• Minimum 3 years engineering experience with cloud-native systems (APIs, microservices, containerization, serverless).
• Minimum 1 year expertise in designing and deploying agentic solutions (agents, orchestration, context engineering, RAG, workflows) in production environments.
• Minimum 2 years experience with AI platforms - OpenAI, Claude, Vertex AI, plus open-source models - including building abstraction layers to manage multi-provider pipelines.
• 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.
• Minimum 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 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 solutions

AI platforms

Python

Java

CI/CD

Client communication

Education

Bachelor's degree or equivalent

Tools

Kubernetes

Docker

CI/CD tooling

Job description

Accenture is seeking an AI Native Engineer with at least 5 years of experience designing and deploying agentic systems for enterprise environments. You will embed with clients, define use cases, prototype, and deploy robust AI agent workflows that integrate across complex enterprise ecosystems.

You will collaborate with stakeholders, build scalable, secure platforms, and help scale AI-native playbooks globally. Expect travel; strong emphasis on delivering concrete results in ambiguous settings.