AI Native Software Engineering Manager

AI Native Software Engineering Manager – Accenture

Location
:
United States (telework / remote available)

Overview
:
Accenture is a forward‑thinking services company at the forefront of AI‑native innovation. We partner with enterprise clients to create next‑generation, agent‑powered workflows engineered to scale in real‑world settings. Our engineers embed deeply with customers, moving projects beyond experimentation into operational reality.

You are
:
An AI Native Engineer with a minimum of 3 years of experience building cloud‑native solutions and deep expertise in designing and deploying agentic systems, especially for enterprise environments. You are a critical thinker that thrives in ambiguity, delivering concrete results by designing, building, and running custom AI agents that augment workflows and scale across modern infrastructure. You’ll help shape the playbook for how enterprises adopt and scale AI‑native engineering globally.

The Work
:
You’ll embed directly with clients—acting as both technologist and trusted advisor—to define use cases, rapidly prototype, and deploy agentic workflows that are robust, secure, and operational in complex enterprise domains.

• Design and engineer enterprise‑ready AI agents encompassing retrieval, orchestration, policy‑based routing, tool invocation, evaluation harnesses, and lifecycle observability.
• Develop abstraction layers across AI providers (Anthropic, Google, OpenAI, etc.) to enable seamless integration and enablement.
• Leverage containerization (Kubernetes, Docker), microservices, serverless, event‑driven architectures, CI/CD, and observability to deliver scalable AI‑native systems.
• Tailor and deploy agentic applications across verticals to address domain‑specific processes via intelligent automation.
• Conduct design workshops, POCs, and code‑with sessions to shape data‑driven agent workflows with stakeholders, fostering trust and adoption.
• Define and use key metrics, test harnesses, and evaluation plans to measure agent accuracy, latency, safety, and cost effectiveness.
• Craft reusable patterns, documentation, and best practices to influence internal assets and client roadmaps.

• Minimum 3 years engineering experience with cloud‑native systems (APIs, microservices, containerization, serverless).
• Minimum 1 year expertise in designing and deploying agentic solutions in production environments.
• Minimum 3 years experience with AI platforms—including building abstraction layers to manage multi‑provider pipelines.
• Minimum 5 years experience programming in Python, Java, or equivalent; familiarity with evaluation tooling, logging, monitoring, and agent observability.
• Minimum 5 years experience deploying to production—CI/CD, infrastructure as code, monitoring, and debugging.
• Minimum 5 years experience with client communication and collaboration, including leading technical workshops and delivering under ambiguity.
• Bachelor’s degree or equivalent.

• Experience serving as an Agentic AI Engineer in an enterprise environment.
• Additional AI certifications or agentic tool experience.
• Defined enterprise‑grade architectures for compound AI systems, orchestration frameworks, or agent registry/stream‑based architectures.
• Understanding of the AI‑native paradigm—blending cloud‑native with generative model architectures for performance, modularity, and efficiency.
• Delivered solutions across multiple industries (finance, healthcare) by tailoring agentic workflows to industry needs.

Travel
:
Travel may be required (25–75% depending on business need).

Equal Employment Opportunity Statement

Accenture is an EEO and affirmative action employer; we provide equal employment opportunities for all qualified applicants.