Agentic DevOps Engineer

Agentic Dev Ops Engineer — Accenture

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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 Dev Ops Engineer to support our Agentic Dev Ops 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 Dev Ops frameworks and ensure seamless delivery of agentic applications across cloud environments.

• 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.

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

• 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.

Benefits and Compensation Compensation varies by location. Typical annual salary ranges are:
California $63,800–$205,800;
Cleveland $59,100–$164,600;
Colorado $63,800–$177,800;
District of Columbia $68,000–$189,300;
Illinois $59,100–$177,800;
Maryland $63,800–$177,800;
Massachusetts $63,800–$189,300;
Minnesota $63,800–$177,800;
New York/New Jersey $59,100–$205,800;
Washington $68,000–$189,300. Compensation may include additional factors such as role, skill set, and experience.

Accenture is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.

Accenture is an EEO and Aff…

Additional Information: Seniority level:
Mid‑Senior;

Employment type:

Full‑time;
Job function:
Engineering and Information Technology;
Industries:
Business Consulting and Services.