AI-Native Engineering Manager: Lead Enterprise Agents

Accenture; San Francisco (CA); On-site; USD 94,000 - 305,000; Full time

Job summary

Accenture is seeking an AI Native Engineer with 3+ years of experience to design and deploy enterprise-grade agentic systems. You will embed with clients to define use cases, prototype quickly, and deploy robust, secure AI workflows across complex environments.

Responsibilities include architecting agents, integrating AI platforms, and delivering scalable cloud-native solutions. Travel may be required to align with client needs and project scopes.

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 3 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 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 AI engineering

Python/Java development

Stakeholder communication

Education

Bachelor's degree or equivalent

Tools

Kubernetes

Docker

OpenAI/AI platforms

Terraform

Job description

Accenture is seeking an AI Native Engineer with 3+ years of experience to design and deploy enterprise-grade agentic systems. You will embed with clients to define use cases, prototype quickly, and deploy robust, secure AI workflows across complex environments.

Responsibilities include architecting agents, integrating AI platforms, and delivering scalable cloud-native solutions. Travel may be required to align with client needs and project scopes.