AI Native Software Engineering Manager

Accenture

Confirmed live yesterday High trust
Remote

Quick summary

Work type
Remote
Location
Arlington, VAMilwaukee, WIKirkland, WACincinnati, OHNew York, NY
Salary
$94,400–$316,300 / yr
Posted
10 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $217k
This role $205k
$68k most similar roles pay here $343k

This role pays less than 61% of similar roles. Most pay $185,500–$248,256 — the shaded band above. At the midpoint, this role pays about $205k versus about $217k for comparable roles.

Based on 240 similar postings.

Employer

About Accenture

Accenture is a leading global professional services company specializing in IT, strategy, consulting, and operations, with a strong focus on digital transformation, cloud computing, and artificial intelligence.

Accenture currently has 192 open roles on FindRole.

Listed pay typically runs $94,400–$266,300 across 165 roles with salary data.

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View all roles at Accenture

At a glance

TL;DR · AI Native Software Engineering Manager

As an AI Native Software Engineering Manager, you will join a team focused on building agent-powered workflows for enterprise clients. You will act as both a technologist and advisor, embedding with customers to define use cases, prototype solutions, and deploy robust, secure agentic workflows across various industries like finance and healthcare. Your daily work involves designing agent architectures featuring retrieval, orchestration, and policy-based routing while building abstraction layers for providers such as Anthropic, Google, and OpenAI. You will utilize a technical stack including Python, Java, Kubernetes, Docker, and Terraform to manage cloud-native systems. Key responsibilities include developing microservices, managing CI/CD pipelines, and establishing evaluation harnesses to measure agent accuracy and latency. You must possess expertise in RAG, context engineering, and infrastructure as code to solve complex problems within enterprise environments.

What you'll do

  • Design and engineer enterprise-ready AI agents featuring retrieval, orchestration, policy-based routing, and lifecycle observability.
  • Develop abstraction layers across multiple AI providers to enable seamless integration of various models into client systems.
  • Build scalable, cloud-native infrastructure using Kubernetes, Docker, microservices, and event-driven architectures.
  • Tailor and deploy agentic applications to solve specific problems in industries like finance, healthcare, and retail.
  • Lead design workshops and "code-with" sessions to define use cases and build trust with client stakeholders.
  • Establish evaluation plans and metrics to measure agent accuracy, latency, safety, and cost-effectiveness.
  • Create reusable patterns, documentation, and best practices to influence internal assets and client roadmaps.

What we're looking for

  • Must have a Bachelor's degree or equivalent (minimum 12 years of experience).
  • Must have an Associate Degree with at least 6 years of work experience.
  • Minimum of 5 years of experience programming in Python, Java, or equivalent languages.
  • Minimum of 3 years of engineering experience with cloud-native systems including APIs, microservices, and containerization.
  • Minimum of 1 year of expertise in designing and deploying agentic solutions in production environments.
  • Minimum of 2 years of experience with AI platforms like OpenAI, Claude, and Vertex AI.
  • Minimum of 5 years of experience deploying to production using CI/CD, infrastructure as code, and monitoring tools.
  • Minimum of 5 years of experience with client communication, including leading technical workshops under ambiguity.

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