Agentic DevOps Engineer

Overview

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.

• Assist in implementing scalable Dev Ops frameworks for agentic systems using Lang Graph, 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 Dev Ops 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 Dev Ops 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.

Here's what you need

• Minimum of 4 years of experience in Dev Ops, AI/ML engineering, or cloud-native development.
• Minimum of 1 year of experience with LLMs, agentic frameworks (Lang Graph, 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)
• Experience in life sciences, fintech, or regulated industries is a plus.

Compensation at Accenture varies depending on a wide array of factors, which may include but are 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. We accept applications on an on-going basis and there is no fixed Final date to receive applications.

Information on benefits is here. ()

Role Location Annual Salary Range

California $63,800 to $205,800

Cleveland $59,100 to $164,600

Colorado $63,800 to $177,800

District of Columbia $68,000 to $189,300

Illinois $59,100 to $177,800

Maryland $63,800 to $177,800

Massachusetts $63,800 to $189,300

Minnesota $63,800 to $177,800

New York/New Jersey $59,100 to $205,800

Washington $68,000 to $189,300

Requesting an Accommodation

Accenture is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you are hired by Accenture and require accommodation to perform the essential functions of your role, you will be asked to participate in our reasonable…