Agentic DevOps Lead Data And AI

Accenture Middle East; Dubai; On-site; AED 420,000 - 720,000; Full time

Job summary

Accenture Middle East is seeking an experienced Artificial Intelligence and Machine Learning Computational Science professional to lead agentic DevOps initiatives across cloud environments. You will architect scalable, production-ready AI solutions and mentor a diverse team of engineers, designers, and DevOps specialists.

You will collaborate with solution architects to tailor deployments for client environments, ensure security and reliability, and drive observability, metering, and operational

Qualifications

• Experience in Artificial Intelligence, Machine Learning, Computational Science, or Applied ML.
• Proven experience leading DevOps or platform engineering initiatives for AI-driven systems.
• Hands-on with Generative AI agentic frameworks and orchestration tools.
• Deep expertise in cloud-native architectures and CI/CD pipelines.
• Experience deploying and operating solutions on AWS, Azure, and/or GCP.
• Strong leadership, communication, and stakeholder management skills.

Responsibilities

• Lead Agentic DevOps Strategy: Define scalable DevOps frameworks for agentic systems using LangGraph, Crew AI, Autogen, and other 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 security, reliability, and compliance standards.
• 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 onboarding.

Skills

Artificial Intelligence

Machine Learning

Computational Science

Applied ML

DevOps Leadership

Generative AI

Cloud-Native

CI/CD

AWS

Azure

GCP

Team Leadership

Education

Relevant degree

Tools

LangGraph

Crew AI

Autogen

Job description

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 outpace 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.

Required Qualifications & Experience:

• Proven 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

Why Join Us

• We offer a transparent, fast paced approach career progression, with a focus on your strengths and continuous coaching from senior colleagues
• You will benefit from 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
• You will have 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
• You will also have opportunities to make a difference to the communities in which we work and live

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