Agentic DevOps Engineer

AccentureMilwaukee, WI
9d

About The Position

We Are The beginning of a new Data & AI decade that will reshape work and society has begun. Accenture is stepping boldly into this future with a clear strategy and purpose: to help clients optimize and reinvent their business with data & AI — backed by a $3B investment and commitment to our people to do industry-defining work. With over 45,000 professionals dedicated to Data & AI, Accenture’s Data & AI organization brings together our Experienced Innovation, Strategic Investment, Exceptional Talent, and Power Ecosystem. You Are As an Artificial Intelligence and Machine Learning Computational Science professional, you will play a pivotal role in formulating real-world problems into practical, efficient, and scalable AI and Machine Learning solutions. You will be responsible for developing and implementing cutting-edge artificial intelligence solutions that drive innovation and enhance performance. You will collaborate with cross-functional teams and leverage your expertise in machine learning, deep learning, and data analysis to solve complex problems and deliver impactful AI-driven solutions. The Work We are seeking a highly motivated Agentic DevOps Engineer to support our Agentic DevOps initiatives. This role is ideal for a hands-on technical leader ready to contribute to the development and deployment of scalable, production-ready Generative AI agentic systems. You will work closely with senior leadership and cross-functional teams to operationalize reusable DevOps frameworks and ensure seamless delivery of agentic applications across cloud environments.

Requirements

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

Nice To Haves

  • Experience with multi-agent orchestration.
  • Exposure to enterprise data platforms (e.g., SAP, SharePoint).
  • Certifications in cloud platforms (AWS, Azure, GCP, Oracle)
  • Experience in life sciences, fintech, or regulated industries is a plus.

Responsibilities

  • Assist in implementing scalable DevOps frameworks for agentic systems using LangGraph, Crew AI, Autogen, and other orchestration tools.
  • Support the development of reusable components for agent lifecycle management, orchestration, monitoring, and metering.
  • Contribute to CI/CD pipeline setup and maintenance for public and private cloud environments (AWS, Azure, GCP).
  • Collaborate with engineering and DevOps teams to ensure production readiness, observability, and compliance.
  • Participate in client enablement efforts, including deployment support and onboarding.
  • Maintain documentation and contribute to continuous improvement of agentic DevOps processes.

Benefits

  • Accenture offers a market competitive suite of benefits including medical, dental, vision, life, and long-term disability coverage, a 401(k) plan, bonus opportunities, paid holidays, and paid time off.

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What This Job Offers

Job Type

Full-time

Career Level

Mid Level

Education Level

No Education Listed

Number of Employees

5,001-10,000 employees

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