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 an experienced Agentic DevOps Lead to lead our Agentic DevOps initiatives. This role is pivotal in scaling our Generative AI agentic solutions across diverse cloud environments. You will architect and operationalize a reusable, portable Agentic DevOps framework that ensures production readiness, observability, and deployment efficiency for agentic applications.

You will lead a team of reinventors-engineers, architects, and DevOps specialists-focused on delivering industry-leading agentic systems that are robust, scalable, and client-ready.

Key Responsibilities

• 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.

Here's what you need

• 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

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