DevOps Lead & Data & AI

Accenture; Dubai; On-site; AED 300,000 - 400,000; Full time

Job summary

A leading technology consulting firm in Dubai is seeking an experienced Agentic DevOps Lead to spearhead its DevOps initiatives. You will develop scalable frameworks for AI-driven solutions across cloud environments while leading a talented team of engineers and DevOps specialists. This pivotal role requires a deep understanding of machine learning technologies and cloud-native deployment strategies. The ideal candidate will have a strong track record in delivering robust and client-ready systems, along with excellent leadership skills. Travel may be required for this position.

Qualifications

• Proven experience in scaling DevOps solutions across cloud environments.
• Expertise in formulating AI and ML solutions for real-world problems.
• Strong leadership abilities, managing cross-functional teams effectively.

Responsibilities

• Define and implement scalable DevOps frameworks for agentic systems.
• Architect and manage CI/CD pipelines for cloud environments.
• Ensure agentic applications meet enterprise-grade standards.

Skills

DevOps frameworks

AI and ML solutions

Cloud environments (AWS, Azure, GCP)

Team leadership

Monitoring and orchestration tools

Tools

LangGraph

Crew AI

Autogen

Job description

Accenture Technology:

Through unmatched industry experience, leading technologies from our ecosystem partners and startups, and the largest delivery network in the world, we provide a powerful range of capabilities that can be tailored to our client’s most complex business needs. With over 100 innovation hubs deployed around the world, we help clients continuously innovate at speed and at scale so they can out their peers. You will bring innovation, intelligence, and industry experience together with the newest technologies to help clients innovate at scale and transform their businesses. Visit us at www.accenture.com.

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.