Agentic DevOps Lead for AI & Data Platforms

Accenture; Dubai; On-site; AED 360,000 - 600,000; Full time

Benefits offered by this job

Flexible work arrangements

Competitive rewards

State-of-the-art technology access

Job summary

Accenture is seeking an experienced Agentic DevOps Lead to scale Generative AI agentic solutions across cloud environments. You will architect a portable DevOps framework, ensure production readiness, and lead engineers, architects, and DevOps specialists to deliver robust, scalable, client-ready systems.

The role requires strong AI/ML background, cloud-native expertise, and proven leadership in enterprise settings. Travel may be required depending on client needs and project scope.

Qualifications

• Proven experience in AI/ML, Computational Science, or applied ML.
• Led 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.

Responsibilities

• Define and implement scalable DevOps frameworks for agentic systems.
• Build reusable scaffolding for agent lifecycle management, orchestration, monitoring, and metering.
• Architect and manage CI/CD pipelines for AWS, Azure, and GCP environments.
• Ensure production-ready, enterprise-grade security and reliability for agentic applications.
• Mentor cross-functional teams across DevOps, AI engineering, and client enablement.
• Collaborate with solution architects to tailor deployments for client environments.

Skills

Artificial Intelligence

Machine Learning

Computational Science

DevOps Leadership

Cloud-Native Architecture

CI/CD Pipelines

Generative AI

Stakeholder Communication

Education

Bachelor's degree in Computer Science or related field

Tools

LangGraph

Crew AI

Autogen

Job description

Accenture is seeking an experienced Agentic DevOps Lead to scale Generative AI agentic solutions across cloud environments. You will architect a portable DevOps framework, ensure production readiness, and lead engineers, architects, and DevOps specialists to deliver robust, scalable, client-ready systems.

The role requires strong AI/ML background, cloud-native expertise, and proven leadership in enterprise settings. Travel may be required depending on client needs and project scope.