Agentic DevOps Lead

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., * Lead Agentic DevOps Strategy: Define and implement scalable DevOps frameworks for agentic systems using LangGraph, Crew AI, Autogen, and other orchestration tools.

• Framework Development: Build reusable scaffolding for agent lifecycle management, orchestration, monitoring, and metering.
• Cloud-Native Deployment: Architect and manage CI/CD pipelines for public and private cloud environments (AWS, Azure, GCP).
• Production Readiness: Ensure agentic applications meet enterprise-grade standards for security, reliability, and compliance.
• Team Leadership: Mentor and manage cross-functional teams across DevOps, AI engineering, and client enablement.
• Client Enablement: Collaborate with solution architects to tailor deployments for client environments and ensure seamless onboarding.

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 8 years in technical leadership roles, including DevOps, AI/ML, or cloud-native engineering.
• Minimum of 3 years of python experience.
• Minimum of 1 year of proven experience with LLMs, agentic frameworks (E.g. LangGraph, Crew AI, Autogen), prompt engineering
• Minimum of 6 years of Hands-on expertise in CI/CD, containerization (Docker, Kubernetes), and infrastructure-as-code (Terraform).
• Minimum of 6 years' experience in architecting solutions on Azure.
• Minimum of 1 year of Experience deploying and monitoring Generative AI systems in production.
• Minimum of 1 year of experience with RAG, LLM fine-tuning, and multi-agent orchestration.
• Bachelor's degree or equivalent (minimum 12 years) work experience. (If Associate's Degree, must have minimum 6 years work experience

Bonus points if you have

• Exposure to enterprise data integration (e.g., SAP, SharePoint).
• Certifications in cloud architecture (AWS, Azure, GCP, Oracle) or AI/ML.
• Cloud engineering on AWS and GCP preferred.
• Strong understanding of cloud security, observability, and cost optimization strategies.
• Prior 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 (https://www.accenture.com/us-en/careers/local/benefits)

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

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 accommodation process. Accommodations made to facilitate the recruiting process are not a guarantee of future or continued accommodations once hired.

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., For details, view a copy of the Accenture Equal Opportunity Statement (https://www.accenture.com/content/dam/accenture/final/accenture-com/document-4/Accenture-Equal-Opportunity-Statement.pdf#zoom=50) Accenture is an EEO and Affirmative Action Employer of Veterans/Individuals with Disabilities. Accenture is committed to providing veteran employment opportunities to our service men and women. Other Employment Statements Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States. Candidates who are currently employed by a client of Accenture or an affiliated Accenture business may not be eligible for consideration. Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process. Further, at Accenture a criminal conviction history is not an absolute bar to employment. The Company will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. Additionally, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the Company's legal duty to furnish information.