Agentic DevOps Engineer

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., 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., * 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, Google Cloud Platform).
• 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.

• 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, Google Cloud Platform, 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 anticipate this job posting will be posted until 03/30/2026.

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. See more information on our benefits here:

U.S. Employee Benefits | Accenture

Role Location Annual Salary Range

California $70,350 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 $66,300 to $205,800

New Jersey $68,000 to $205,800

Washington $80,200 to $189,300

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