AI Native Software Engineering Manager

AI Native Software Engineering Manager – Accenture Accenture Technology seeks an AI Native Software Engineering Manager to lead client engagements, design AI agents, and build scalable cloud-native systems.

The Work:

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

Responsibilities

Agent Architecture & Engineering – Design enterprise‑ready AI agents covering retrieval, orchestration, policy‑based routing, tool invocation, evaluation harnesses, and lifecycle observability.

AI Platform Integration – Build abstraction layers across AI providers (Anthropic, Google, OpenAI, etc.) to enable seamless integration.

Cloud‑Native Engineering – Leverage containerization, 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 such as finance, healthcare, retail.

Client Engagement – Conduct design workshops, POCs, and code‑with sessions to shape data‑driven agent workflows with stakeholders.

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.

Travel – Travel may be required; the amount will vary from 0% to 100% based on business need.

Basic Qualifications

Bachelor’s or master’s degree in computer science, business administration, commerce or related discipline.

Minimum 10 years engineering experience with cloud‑native systems (APIs, microservices, containerization, serverless).

Minimum 1 year experience designing and deploying agentic solutions (agents, orchestration, context engineering, RAG, workflows).

Minimum 2 years experience with AI platforms (OpenAI, Claude, Vertex AI, open‑source) building abstraction layers to manage multi‑provider pipelines.

Minimum 10 years programming in Python, Java, or equivalent; familiarity with evaluation tooling, logging, monitoring, and agent observability.

Minimum 10 years deploying to production – CI/CD, infrastructure as code (Terraform, Helm), monitoring, and debugging.

Minimum 10 years client communication and collaboration, including leading technical workshops and delivering under ambiguity.

Bonus Points

Served as an Agentic AI Engineer in an Enterprise environment.

Defined or worked with enterprise‑grade architectures for compound AI systems or agent registry/stream‑based architectures.

Understands the AI‑native paradigm—blending cloud‑native with generative model architectures—to optimize for performance, modularity, and efficiency.

Delivered solutions across multiple industries (finance, healthcare) by tailoring agentic workflows to industry needs.

Seniority Level Mid‑Senior level

Employment Type Full‑time

Job Function Information Technology and Engineering

Industries Software Development

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