AI-Native Engineering Lead for Enterprise Agent Workflows

Accenture; Mountain View (CA); On-site; USD 94,000 - 305,000; Full time

Job summary

Accenture in California is seeking an AI Native Engineer with at least 3 years of experience building cloud-native solutions and agentic systems for enterprise environments. You will embed with clients, design, prototype, and deploy robust AI agents that scale across modern infrastructures.

Responsibilities include agent architecture, AI platform integration across providers, Kubernetes/Docker based delivery, domain-specific workflows, and guiding data-driven workstreams with stakeholders.

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

CI/CD

Client engagement

Education

Bachelor's degree or equivalent

Tools

Anthropic

Google

OpenAI

Vertex AI

Open-source models

Job description

Accenture in California is seeking an AI Native Engineer with at least 3 years of experience building cloud-native solutions and agentic systems for enterprise environments. You will embed with clients, design, prototype, and deploy robust AI agents that scale across modern infrastructures.

Responsibilities include agent architecture, AI platform integration across providers, Kubernetes/Docker based delivery, domain-specific workflows, and guiding data-driven workstreams with stakeholders.