AI Native Engineer: Enterprise Agentic AI (Hybrid)

Accenture; Houston (TX); Hybrid; USD 130,000 - 190,000; Full time

Benefits offered by this job

Medical

Dental

Vision

401(k)

Paid holidays

Paid time off

Life Insurance

Long-term disability

Job summary

Accenture is seeking an AI Native Engineer to design and deploy agentic systems across enterprise environments. The role embeds with clients as technologist and trusted advisor, building robust, secure AI workflows and integrations with major AI providers.

Requirements include 3+ years in cloud-native engineering, Python/Java, and production deployment with CI/CD and IaC. Travel and collaboration with stakeholders are expected. Hybrid roles across multiple US cities are supported.

Qualifications

• Minimum of 3 years engineering experience with cloud-native systems (APIs, microservices, containerization, serverless).
• Minimum of 3 years experience programming in Python, Java, or equivalent; familiarity with evaluation tooling, logging, monitoring, and agent observability.
• Minimum of 3 years experience deploying to production — CI/CD, infrastructure as code (Terraform, Helm), monitoring, and debugging.
• Minimum of 3 years experience with client communication and collaboration, including leading technical workshops and delivering under ambiguity.
• 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 1 year expertise in designing and deploying agentic solutions (agents, orchestration, context engineering, RAG, workflows) in production environments.
• Bachelor's degree or equivalent (minimum 12 years) work experience. (If Associate Degree, must have minimum 6 years work experience)

Responsibilities

• 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 engineering

Python

Java

CI/CD

Multi-provider AI platforms

Client workshops

Agentic workflows

System design

Education

Bachelor's degree or equivalent

Tools

Kubernetes

Docker

Terraform

Helm

OpenAI

Claude

Vertex AI

Job description

Accenture is seeking an AI Native Engineer to design and deploy agentic systems across enterprise environments. The role embeds with clients as technologist and trusted advisor, building robust, secure AI workflows and integrations with major AI providers.

Requirements include 3+ years in cloud-native engineering, Python/Java, and production deployment with CI/CD and IaC. Travel and collaboration with stakeholders are expected. Hybrid roles across multiple US cities are supported.