Make an impact with NTT DATA
Join a company that is pushing the boundaries of what is possible. We are renowned for our technical excellence and leading innovations, and for making a difference to our clients and society. Our workplace embraces diversity and inclusion – it’s a place where you can grow, belong and thrive.
The AgentOps Engineer is a seasoned subject matter expert responsible for designing, automating, and optimizing robust MLOps and DevOps environments to enable scalable, secure, and high-performing AI/ML platforms and applications.
This role translates business and data science requirements into reliable data, model training, and inference workflows; deploys and manages multi-cloud and on-premises AI systems; and implements leading CI/CD, monitoring, and automation practices.
The role combines seasoned experience in infrastructure-as-code, pipeline orchestration, cloud deployment, and operationalizing machine learning with mentoring responsibilities for junior and mid-level engineers. The goal: foster a collaborative, innovative, and operationally excellent AI/ML engineering culture.
Collaborate with data scientists, solution architects, and platform specialists to translate business needs into technical architectures— incorporating both conventional ML workloads and agentic AI built with Azure AI Foundry, Copilot Studio, and Power Platform (Power Automate, Power Apps).
Design, build, and maintain CI/CD and MLOps pipelines that cover the full AI/ML lifecycle—data, model, code, and agent deployment—leveraging Azure DevOps, GitHub Actions, and orchestration tools for both cloud-native code and low-code agents.
Automate the validation, deployment, and management of AI agents and copilots, ensuring best practices for versioning, testing, rollback, privacy, and security are applied across Azure AI Foundry and Power Platform.
Integrate deployment of Power Platform solutions (Power Virtual Agents, AI Copilots, Power Automate workflows) and ensure governance, monitoring, and seamless scaling for enterprise-grade adoption.
Support advanced data and model pipelines: from ingestion and feature engineering to deployment and on-going monitoring using Azure Machine Learning, Azure Synapse, Data Factory, and other relevant tools.
Containerize, deploy, and orchestrate solutions—including custom ML services and Power Platform connectors—with Kubernetes (AKS), Docker, and Infrastructure-as-Code (Terraform, Bicep/ARM).
Embed automated testing, governance policies (via Azure Policy and Microsoft Purview), and security controls (integrating with Microsoft Defender for Cloud, Azure Key Vault, etc.) into all DevOps processes, including those for low-code agents.
Handle release management, environment provisioning, and runbook preparation for hybrid and multi-cloud scenarios (Azure, AWS, GCP).
Troubleshoot complex deployment and operational issues—whether arising from custom code, integrated APIs, or Power Platform components.
Ensure comprehensive documentation is created for pipelines, deployment standards, agent lifecycle management, and regulatory compliance.
Mentor and guide junior DevOps engineers and Power Platform specialists; lead knowledge-sharing and drive a culture of innovation, automation, and operational excellence.
Stay current on Microsoft agentic AI advances (Foundry, Copilot/Power Virtual Agents) and related DevOps/MLOps patterns, continuously improving toolchains, and championing adoption of new features.
To thrive in this role, you need to have:
Familiarity with agent lifecycle management, automated testing and governance for low-code/no-code apps, and scalable Power Platform deployment patterns.
Competence with containerization (Docker), orchestration (Kubernetes/AKS), and multi-cloud deployment (Azure, AWS, GCP).
Ability to design, implement, and maintain secure, automated deployment pipelines integrating security, compliance, and monitoring requirements.
Demonstrated scripting/programming (Python, PowerShell, etc.) and infrastructure-as-code (Terraform, Bicep/ARM).
Proficiency in Agile practices, strong planning, analytical, troubleshooting, and communication skills.
Academic Qualifications and Certifications:
Bachelor’s degree or equivalent in Information Technology, Computer Science, Engineering, or a related field.
Microsoft certifications preferred (Microsoft Certified: Azure AI Engineer Associate, Power Platform Solution Architect, DevOps Engineer Expert).
DevOps and cloud certifications for Azure, AWS, or GCP preferred.
Certification in relevant scripting or programming languages is advantageous.
Required Experience:
Eperience designing and supporting DevOps and MLOps workflows for AI/ML and agentic AI solutions on Azure, with multi-cloud familiarity.
Experience with deployment and lifecycle automation for Azure AI Foundry, Copilot Studio, and Power Platform solutions.
Proven success implementing CI/CD, automated testing, and governance for both code-centric and low/no-code AI applications.
Experience with Agile methodologies (SCRUM, KANBAN) and in managing operational support for production AI/ML systems and AI agents.
Workplace type:
On-site WorkingAbout NTT DATA
NTT DATA is a $30+ billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world’s leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. Our consulting and industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners. NTT DATA is part of NTT Group, which invests over $3 billion each year in R&D.
Equal Opportunity Employer
NTT DATA is proud to be an Equal Opportunity Employer with a global culture that embraces diversity. We are committed to providing an environment free of unfair discrimination and harassment. We do not discriminate based on age, race, colour, gender, sexual orientation, religion, nationality, disability, pregnancy, marital status, veteran status, or any other protected category. Join our growing global team and accelerate your career with us. Apply today.
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