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, 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.

• 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)
• 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 06/05/2026.

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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