Requirements
Requires proven experience in AI, ML, computational science, or applied ML. Must have led DevOps or platform engineering for AI-driven systems, with hands-on experience in generative AI agentic frameworks and orchestration tools. Deep expertise in cloud-native architectures, CI/CD pipelines, and deploying solutions across AWS, Azure, or GCP is essential. Strong leadership, communication, and stakeholder management skills are also required.
Description
Job description / Role
Job Type
Full Time
Job Location
Dubai, UAE
Nationality
Any Nationality
Salary
Not Specified
Gender
Not Specified
Arabic Fluency
Not Specified
Job Function
IT - Software & Web Development
Company Industry
Software & Internet Services
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.
We are
The beginning of a new data and 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 and AI professionals, Accenture's data and 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 and 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 to 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.
About Accenture
Accenture is a leading global professional services company that helps the world's leading businesses, governments, and other organizations build their digital core, optimize their operations, accelerate revenue growth, and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries.
Technology is at the core of change today, and we are one of the world's leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data, and AI with unmatched industry experience, functional expertise, and global delivery capability.
Our broad range of services, solutions, and assets across strategy and consulting, technology, operations, Industry X, and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners, and communities.
Equal employment opportunity statement
We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, sexual orientation, gender identity or expression, marital status, citizenship status, or any other basis as protected by applicable law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.
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