AI-Native Platform Lead for Enterprise Agentic Workflows

Accenture PLC; San Francisco (CA); On-site; USD 94,000 - 316,000; Full time

Job summary

Accenture is seeking an AI Native Engineer with 5+ years of experience to build cloud-native agentic systems for enterprise clients. You will embed with clients as technologist and advisor, shaping use cases, prototyping, and deploying robust, secure workflows that scale in complex environments.

You will design agent architectures, integrate AI platforms, and deliver production-grade pipelines with Kubernetes, Docker, CI/CD, and observability, while leading technical workshops and driving

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 2 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 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

Client engagement

Team leadership

Education

Bachelor's degree or equivalent (minimum 12 years) work experience

Tools

Kubernetes

Docker

Terraform

Helm

CI/CD

Job description

Accenture is seeking an AI Native Engineer with 5+ years of experience to build cloud-native agentic systems for enterprise clients. You will embed with clients as technologist and advisor, shaping use cases, prototyping, and deploying robust, secure workflows that scale in complex environments.

You will design agent architectures, integrate AI platforms, and deliver production-grade pipelines with Kubernetes, Docker, CI/CD, and observability, while leading technical workshops and driving