Agentic Devops Engineer

Job Posting

We are the beginning of a new data and AI decade that will reshape work and society. Accenture is stepping boldly into this future with a clear strategy and purpose: to help clients optimize and reinvent their business with data and AI—backed by a $3B investment and commitment to our people to do industry-defining work. With over 45,000 professionals dedicated to data and AI, Accenture's data and AI organization brings together our experienced innovation, strategic investment, exceptional talent, and power ecosystem.

About The Role

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.

Key responsibilities include:

• 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.

Travel may be required for this role. The amount of travel will vary from 0 to 100% depending on business need and client requirements. This role is located in San Diego, CA. Successful applicants must reside or be willing to relocate to San Diego, CA prior to starting.

What You Need

To be successful in this role, you will need:

• 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.
• Bonus points if you have experience with multi-agent orchestration, exposure to enterprise data platforms (e.g., SAP, SharePoint), certifications in cloud platforms (AWS, Azure, GCP, Oracle), and experience in life sciences, fintech, or regulated industries.

Compensation

Compensation at Accenture varies depending on a wide array of factors, which may include but not limited to the specific office location, role, skill set, and level of experience. As required by local law, Accenture provides a reasonable range of compensation for roles that may be hired as set forth below.