Agentic DevOps Lead – Data & AI
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Key skills for this role
About the Role
Accenture is seeking an experienced Agentic DevOps Lead to lead initiatives scaling Generative AI agentic solutions across cloud environments. The role involves architecting a reusable Agentic DevOps framework, managing CI/CD pipelines, and leading cross-functional teams.
Key Skills for This Role
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.
Requirements
- 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
Full Job Posting
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.
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.
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.
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.
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
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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