Senior AI Agentic Engineer, Enterprise Platform Lead

Accenture; Minneapolis (MN); On-site; USD 133,000 - 261,000; Full time

Job summary

Accenture is seeking an AI Native Engineer with at least 3 years of experience in building cloud-native solutions and deploying agentic AI systems for enterprise environments. You will embed directly with clients as both technologist and trusted advisor, defining use cases, prototyping, and deploying robust agentic workflows that scale across complex environments.

You will work across architecture, platform integration, and domain-specific automation, collaborating with stakeholders to shape

Qualifications

• End-to-end software engineering experience across the SDLC.
• Experience designing and delivering agentic AI solutions in production.
• Proficiency with cloud-native tech and tools (Kubernetes, Docker, CI/CD).
• Ability to lead workshops, communicate with clients, and manage ambiguity.

Responsibilities

• Design enterprise-ready AI agents including retrieval, orchestration, and lifecycle observability.
• Develop abstraction layers across AI providers for seamless integration.
• Leverage cloud-native architectures to deliver scalable AI-native systems.
• Tailor agentic workflows for verticals like finance, healthcare, or retail.
• Conduct workshops, POCs, and code-with sessions with stakeholders.
• Define metrics and evaluation plans for agent performance and costs.
• Create reusable patterns and documentation for internal and client roadmaps.

Skills

End-to-end software engineering

AI agentic engineering

Python/Java

Cloud-native systems

Stakeholder engagement

Ambiguity handling

Cloud platforms

Education

Bachelor's degree or equivalent

Tools

Kubernetes

Docker

Terraform

OpenAI / Anthropic / Claude

Job description

Accenture is seeking an AI Native Engineer with at least 3 years of experience in building cloud-native solutions and deploying agentic AI systems for enterprise environments. You will embed directly with clients as both technologist and trusted advisor, defining use cases, prototyping, and deploying robust agentic workflows that scale across complex environments.

You will work across architecture, platform integration, and domain-specific automation, collaborating with stakeholders to shape