AI Native Software Engineering Manager

Accenture

Hybrid

Quick summary

Work type
Hybrid
Location
Arlington, VA · Milwaukee, WI · Kirkland, WA · Cincinnati, OH · New York, NY
Salary
$94,400–$305,000 / yr
Posted
52 days ago

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $185k
This role $200k
$69k most similar roles pay here $330k

This role pays more than 59% of similar roles. Most pay $148,115–$222,425 — the shaded band above. At the midpoint, this role pays about $200k versus about $185k 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 131 open roles on FindRole.

Listed pay typically runs $94,400–$235,100 across 89 roles with salary data.

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View all roles at Accenture

At a glance

TL;DR · AI Native Software Engineering Manager

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Join our forward-thinking services company as an AI Native Engineer with a minimum of 3 years experience in cloud-native solutions, embedding directly with enterprise clients to design and deploy custom AI agents that augment workflows. You will engineer agent architectures, integrate AI platforms, and leverage containerization, microservices, and serverless technologies to deliver scalable systems. Tailor agentic applications for various industries like finance and healthcare, conduct workshops, and measure performance using key metrics. Essential skills include deep expertise in Python or Java, CI/CD pipelines, and client communication. Bonus points for experience with enterprise-grade AI architectures and delivering solutions across multiple sectors.

Skills

Python Kubernetes Docker CI/CD Terraform Helm PostgreSQL OpenAI Anthropic Google Vertex AI RAG Prometheus Grafana Java

What you'll do

  • Design and engineer enterprise-ready AI agents with retrieval, orchestration, and policy-based routing.
  • Develop abstraction layers for seamless integration of multiple AI providers in client environments.
  • Tailor agentic applications to specific industry workflows such as finance or healthcare.
  • Conduct design workshops and proof-of-concept sessions to shape data-driven agent workflows.
  • Define and use key metrics to measure the accuracy, latency, safety, and cost-effectiveness of agents.

What we're looking for

  • 3+ years of experience in cloud-native engineering with APIs, microservices, and containerization.
  • Deep expertise in designing and deploying agentic solutions for enterprise environments.
  • Extensive knowledge of AI platforms including OpenAI, Google, Anthropic, and open-source models.
  • Proficiency in Python or Java with experience in evaluation tooling and observability.
  • 5+ years of hands-on production deployment experience using CI/CD and infrastructure as code tools.
  • Strong client engagement skills, leading technical workshops and delivering under ambiguity.

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