[Hiring] Agentic DevOps Lead @Accenture

Role Description

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 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.

Qualifications

• 15+ years of professional experience, supported by relevant educational qualifications.
• Strong background in Artificial Intelligence, Machine Learning, Computational Science, or Applied Machine Learning.
• Proven experience leading DevOps or platform engineering initiatives for AI-driven systems.
• Hands-on experience with Generative AI agentic frameworks and orchestration tools.
• Deep expertise in cloud-native architectures and CI/CD pipelines.
• Demonstrated experience deploying and operating solutions across AWS, Microsoft Azure, and/or Google Cloud Platform (GCP).
• Strong leadership, communication, and stakeholder management skills.

Preferred Qualifications

• Experience designing and operating multi-agent systems in production environments.
• Familiarity with AI observability, monitoring, and governance frameworks.
• Experience working in large-scale enterprise or consulting environments.
• Exposure to regulated or security-sensitive industries.

Benefits

• Transparent, fast-paced approach to career progression, with a focus on your strengths and continuous coaching from senior colleagues.
• Working alongside Accenture experts who are solving some of the biggest industry challenges with innovative thinking and pioneering tools.
• Flexible work arrangements and a range of benefits including competitive rewards.
• Access to state-of-the-art technology that will give you the opportunity to deepen your existing skills even as you help create the latest business trends.
• Opportunities to make a difference to the communities in which we work and live.

Next Steps

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