Senior AI Platform/AgentOps Engineer
Hyderabad Full-time Senior ML Platform & Ops
At a glance
Senior ML Platform & Ops role at Diebold Nixdorf. Hyderabad · full-time.
Pay not stated ML Platform & Ops salary
RoleML Platform & Ops
SenioritySenior
LocationHyderabad
EmploymentFull-time
PostedOct 8, 2026 · 2w ago
Role brief
aimlroles summary, based on the employer's posting.
What you'll do
- Build and run shared services that bring AI solutions and agents into enterprise use
- Control promotion across Sandbox, Dev, Test and Production, automating builds, checks, releases, versioning and rollback
- Administer agent settings, deployment, publishing, lifecycle and operational safeguards
- Track model, agent, API and infrastructure use to make costs visible and manageable
- Set up security controls, production readiness, runbooks, incident support and reusable platform automation
What you bring
- At least six years of overall experience, including three or more years in AI platform engineering
- Hands-on production operations experience administering AI/ML, GenAI or agent platforms
- Experience supporting enterprise environments with security, governance, monitoring and automation
- You have moved applications or agents through Sandbox, Dev, Test and Production environments
- Good written and spoken business English
Who this fits
This senior role suits an engineer focused on operating AI platforms and agents in enterprise environments, including production support and platform automation. The position is based in Hyderabad, India.
From the employer
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.
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 AI platforms, Foundry environments, Copilot Studio and other agent platforms, while providing CI/CD,
Required Qualifications
- Overall experience: 6–10+ years
- AI platform experience: AI/ML, GenAI, LLM, Copilot, agent, or similar modern AI workloads.
- AI Platform Engineering
- Containers/Kubernetes • AI/GenAI Platforms • AgentOps • Observability & Telemetry
- 3+ years in AI Platform Engineering
- Strong hands-on production operations experience
- Practical experience administering AI/ML, GenAI or agent platforms
- 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).