Diebold Nixdorf

Global financial and retail technology provider

Senior AI Platform/AgentOps Engineer

Enterprise ApplicationsConfirmed live in the last 24 hours

Full-timeHyderabad, Telangana, IndiaNo salary listedIn-person

About the Job

Requirements

6–10+ years of overall experience.
Experience with AI platform workloads, including AI/ML, generative AI, large language models, Copilot, agents, or similar modern AI workloads.
Three or more years in AI Platform Engineering.
Strong hands-on production operations experience.
Practical experience administering AI/ML, generative AI, or agent platforms.
Experience supporting enterprise-scale environments with security, governance, monitoring, and automation.
Experience moving applications or agents through Sandbox, Development, Test, and Production environments.
Troubleshooting capability across platform, application, integration, identity, and infrastructure layers.
At least 4–6 years of relevant Enterprise Applications experience or an equivalent combination of education and experience.
Good written and spoken business English.

Responsibilities

Develop, maintain, and manage enterprise application standards and systems, including database, network, and hosting solutions.
Drive the development of detailed configuration parameters, custom extensions, workflow, and integration solutions.
Coordinate with technical and engineering teams to ensure solutions operate in highly available and reliable environments.
Build and operate shared AI platform capabilities and services.
Manage Sandbox, Development, Test, and Production environments with controlled promotion.
Automate build, validation, deployment, versioning, and rollback.
Manage agent configuration, deployment, publishing, lifecycle, and operational controls.
Track model, agent, API, and infrastructure consumption and establish cost visibility.
Manage identity, secrets, connections, environment isolation, and platform-level security and access controls.
Establish production readiness, operational runbooks, incident support, and lifecycle management.
Reduce manual administration through reusable infrastructure, deployment, and operational automation.
Administer AI platforms, Foundry environments, Copilot Studio, and other agent platforms while providing CI/CD.

Develops, maintains and manages enterprise application standards and systems, including database, network and hosting solutions. Drives the development of detailed configuration parameters, custom extensions, workflow and integration solutions. Coordinates with technical / engineering teams to ensure solutions are designed to operate in highly available and reliable environments.

Required Qualifications

Overallexperience: 6–10+ years
AI platform experience: AI/ML, GenAI, LLM, Copilot, agent, or similar modern AI workloads.
AIPlatformEngineering
Containers/Kubernetes•AI/GenAIPlatforms•AgentOps•Observability&Telemetry
- 3+years in AI Platform Engineering
- Strong hands-on production operations experience
- Practical experience administering AI/ML,GenAIoragentplatforms
- Experience supporting enterprise-scale environments with security, governance, monitoring and automation
- Experience moving applications or agents through Sandbox→Dev→Test→Production
- Strong troubleshooting capability across platform, application, integration, identity and infrastructure layers
Minimum of 4-6 years of relevant experience or equivalent combination of education and experience in Enterprise Applications.
Good business English skills (Written and spoken).

AI Platform /AgentOps Engineer

Primary Accountability
Industrialize AI solutions and agents into secure, scalable, observable and supportable enterprise services.

Core Responsibilities

AI Platform Engineering – Build and operate shared AI platform capabilities and services.
Environment Management – Manage Sandbox, Dev, Test and Production environments with controlled promotion.
CI/CD & Release Automation – Automate build, validation, deployment, versioning and rollback.
AgentOps & Administration – Manage agent configuration, deployment, publishing, lifecycle and operational controls.
AI FinOps / Cost Controls – Track model, agent, API and infrastructure consumption and establish cost visibility.
Security & Access Controls – Manage identity, secrets, connections, environment isolation and platform-level controls.
Production Operations – Establish production readiness, operational runbooks, incident support and lifecycle management.
Platform Automation – Reduce manual administration through reusable infrastructure, deployment and operational automation
Own the operational foundation for enterprise AI by administering AIplatforms,Foundryenvironments,CopilotStudioandotheragentplatforms, while providing CI/CD,

About the Company

Diebold Nixdorf

Global financial and retail technology provider

Diebold Nixdorf provides financial and retail technology solutions, helping banks and retailers automate and digitize their operations. Its offerings include ATMs, point-of-sale systems, software, and related services for financial institutions and retailers. The company combines hardware (ATMs and POS terminals) with software platforms and ongoing services, including maintenance and support, to enable transactions, cash management, and customer experiences. Unlike some competitors, it differentiates itself through a strong focus on software and services, a global footprint, and deep relationships with leading banks and retailers, allowing for tailored, end-to-end solutions. The goal is to help customers modernize their checkouts and banking experiences, drive efficiency, and adapt to changing financial and retail environments through integrated technology and long-term service partnerships.

Company size: Not listed
Company stage: IPO
Headquarters: North Canton, OH
Founded: 1859

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