Agentic DevOps Lead Data & AI Accenture Middle East

We Are:

The beginning of a new Data & AI decade one that will reshape work and society has arrived. Accenture is stepping boldly into this future with a clear strategy and purpose: to help clients optimize and reinvent their business with data and AI. Backed by a $3B investment and a deep commitment to our people, we enable industry-defining work at global scale.

With over 45,000 Data & AI professionals, Accenture s Data & AI organization combines experienced innovation, strategic investment, exceptional talent, and a powerful ecosystem to deliver transformational outcomes for our clients.

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.

Required Qualifications & Experience:

• 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