Enterprise AI Native Engineer - Agentic Workflows

Accenture; Scottsdale (AZ); Hybrid; USD 90,000 - 240,000; Full time

Benefits offered by this job

Medical, Dental, Vision

401(k) plan

Bonus opportunities

Paid holidays

Paid time off

Job summary

Accenture is seeking an AI Native Engineer to design and deploy agentic AI workflows within enterprise environments. You will embed with clients, define use cases, prototype quickly, and build robust, secure solutions that scale across complex IT landscapes.

You’ll shape the playbook for enterprise AI adoption globally. The role requires strong Python/Java skills, 3+ years with cloud-native tech, and 1+ year in agentic solutions.

Qualifications

• 3+ years engineering experience with cloud-native systems (APIs, microservices, containerization, serverless).
• 1 year expertise in designing and deploying agentic solutions (agents, orchestration, context engineering, RAG, workflows) in production environments.
• 3+ years experience with AI platforms — OpenAI, Claude, Vertex AI, plus open-source models — including building abstraction layers to manage multi-provider pipelines.
• 5+ years experience programming in Python, Java, or equivalent; familiarity with evaluation tooling, logging, monitoring, and agent observability.
• 5+ years experience deploying to production — CI/CD, infrastructure as code (Terraform, Helm), monitoring, and debugging.
• 5+ years experience with client communication and collaboration, including leading technical workshops and delivering under ambiguity.

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 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 solutions

AI platforms

Programming (Python/Java)

CI/CD / IaC

Client engagement

Bachelor's degree or equivalent (12+ y

Education

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

Tools

Kubernetes

Docker

Terraform

Helm

Job description

Accenture is seeking an AI Native Engineer to design and deploy agentic AI workflows within enterprise environments. You will embed with clients, define use cases, prototype quickly, and build robust, secure solutions that scale across complex IT landscapes.

You’ll shape the playbook for enterprise AI adoption globally. The role requires strong Python/Java skills, 3+ years with cloud-native tech, and 1+ year in agentic solutions.