Senior AI Native Engineer — Agentic AI & Cloud-Native

Accenture; Arlington (VA); On-site; USD 123,000 - 278,000; Full time

Benefits offered by this job

Medical

Dental

Vision

Life insurance

Long-term disability

401(k)

Bonus opportunities

Paid holidays

Paid time off

Job summary

Accenture is seeking an AI Native Engineer with deep expertise in designing and deploying agentic systems for enterprise environments. You will embed with clients, define use cases, prototype, and deploy robust AI agentworkflows that scale across modern infrastructure.

The role requires extensive experience in cloud-native engineering, AI platforms, and delivering complex solutions with a focus on performance, security, and governance. Willingness to travel is expected.

Qualifications

• Minimum 10 years' experience with end-to-end software engineering and SDLC expertise.
• Minimum 8 years' experience in the following: Python, Java, or equivalent; familiarity with evaluation tooling, logging, monitoring, and agent observability.
• Deploying to production — CI/CD, infrastructure as code (Terraform, Helm), monitoring, and debugging.
• With client communication and collaboration, including being capable of leading technical workshops and delivering under ambiguity.
• Minimum of 3 years’ experience in the following: Engineering experience with cloud-native systems (APIs, microservices, containerization, serverless).
• With AI platforms — OpenAI, Claude, plus open-source models — including building abstraction layers to manage multi-provider pipelines.
• Minimum of 2 years of hands-on experience designing and delivering Agentic AI solutions
• Minimum of 1.5 years' experience with semantic models, ontologies, knowledge graphs, or enterprise knowledge
• Using coding agents and AI-assisted software development
• 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.

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

Agent architectures

AI platforms

Cloud-native engineering

Python/Java

CI/CD

Kubernetes

Docker

Team leadership

Client engagement

Education

Bachelor's degree

Tools

Anthropic

OpenAI

Google

Job description

Accenture is seeking an AI Native Engineer with deep expertise in designing and deploying agentic systems for enterprise environments. You will embed with clients, define use cases, prototype, and deploy robust AI agentworkflows that scale across modern infrastructure.

The role requires extensive experience in cloud-native engineering, AI platforms, and delivering complex solutions with a focus on performance, security, and governance. Willingness to travel is expected.