Agentic DevOps Engineer

Accenture

Quick summary

Work type
On-site
Location
San Diego, CA · Milwaukee, WI · Dallas, TX · Columbus, OH · Kirkland, WA
Salary
$70,350–$205,800 / yr
Posted
46 days ago

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $178k
This role $138k
$53k most similar roles pay here $237k

This role pays less than 75% of similar roles. Most pay $139,261–$217,725 — the shaded band above. At the midpoint, this role pays about $138k versus about $178k 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.

Most-posted roles

View all roles at Accenture

At a glance

TL;DR · Agentic DevOps Engineer

As an Agentic DevOps Engineer at Accenture’s Data & AI organization, you will join a dynamic team dedicated to developing and deploying scalable generative AI agentic systems. Your day-to-day responsibilities include implementing reusable DevOps frameworks using tools like LangGraph, Crew AI, Autogen, and contributing to CI/CD pipeline setup for public and private cloud environments such as AWS, Azure, and GCP. You will collaborate with cross-functional teams to ensure production readiness, observability, and compliance while maintaining documentation and supporting client enablement efforts. The ideal candidate has at least 4 years of experience in DevOps or AI/ML engineering, including expertise with LLMs, agentic frameworks, CI/CD tools, containerization, and infrastructure-as-code. Experience deploying solutions on Azure and monitoring Generative AI systems in production environments is essential, along with a strong background in cloud security, observability, and performance optimization.

What you'll do

  • Assist in implementing scalable DevOps frameworks for agentic systems using specific tools.
  • Develop and maintain reusable components for agent lifecycle management and monitoring.
  • Set up and manage CI/CD pipelines for cloud environments like AWS, Azure, GCP.
  • Ensure production readiness of agentic applications through collaboration with engineering teams.
  • Participate in client enablement efforts, including deployment support and onboarding new clients.
  • Maintain documentation and improve continuous integration and delivery processes.

What we're looking for

  • Minimum 4 years of experience in DevOps, AI/ML engineering, or cloud-native development.
  • Experience with LLMs, agentic frameworks (LangGraph, Crew AI, Autogen), and prompt engineering.
  • Proficient in CI/CD tools, containerization (Docker, Kubernetes), and infrastructure-as-code (Terraform).
  • Minimum 3 years of experience deploying solutions on Azure.
  • At least 1 year of experience deploying and monitoring Generative AI systems in production environments.
  • Strong background in cloud security, observability, and performance optimization.

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