AI Native Software Engineering Manager
External job listingat Accenture
Accenture seeks an AI Native Software Engineering Manager to design, build, and deploy enterprise-ready AI agents and cloud-native systems.
Salary
Not provided
Location
Arlington, United States
Employment type
Full time
Workplace
Not provided
AI Native Software Engineering Manager
Arlington, United States
Job description
About the role
Accenture is a forward-thinking services company at the forefront of AI-native innovation. It partners with enterprise clients to create next-generation, agent-powered workflows engineered to scale in real-world settings. Engineers embed deeply with customers, moving projects beyond experimentation into operational reality.
In this role, you’ll embed directly with clients as both a technologist and trusted advisor. You’ll partner with stakeholders to define use cases, rapidly prototype, and deploy robust, secure agentic workflows for complex enterprise domains. Projects may involve creating new platforms and systems that are integrated into client environments alongside ecosystem partners.
Responsibilities
- Design and engineer enterprise-ready AI agents, including retrieval, orchestration, policy-based routing, tool invocation, evaluation harnesses, and lifecycle observability.
- Develop abstraction layers across AI providers, including Anthropic, Google, and OpenAI, to enable seamless integration and enablement.
- Use containerization, Kubernetes, Docker, microservices, serverless and event-driven architectures, CI/CD, and observability to deliver scalable AI-native systems.
- Tailor and deploy agentic applications across verticals such as finance, healthcare, and retail, addressing domain-specific processes.
Requirements
- At least 3 years of experience building cloud-native solutions.
- Deep expertise in designing and deploying agentic systems, especially for enterprise environments.
- Critical thinking and the ability to thrive in ambiguity while delivering concrete results.
- Experience designing, building, and running custom AI agents that augment workflows and scale across modern infrastructure.
Key facts
- Requires at least 3 years of experience building cloud-native solutions.
- Requires deep expertise designing and deploying agentic systems, especially for enterprise environments.
- The work includes designing and engineering enterprise-ready AI agents.
Frequently asked questions
What does the role involve?
The role involves embedding with clients, defining use cases, prototyping, and deploying robust, secure agentic workflows in complex enterprise domains.
What experience is required?
The listing requires at least 3 years of experience building cloud-native solutions and deep expertise in designing and deploying agentic systems.
What kinds of systems will I work on?
The work includes enterprise-ready AI agents and scalable AI-native systems using cloud-native engineering approaches. Projects may include new platforms and systems integrated into client environments.