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One of the world’s largest employers with locations in more than 100 countries, McDonald’s Corporation has corporate opportunities in Hyderabad. Our global offices serve as dynamic innovation and operations hubs, designed to expand McDonald's global talent base and in-house expertise. Our new office in Hyderabad will bring together knowledge across business, technology, analytics, and AI, accelerating our ability to deliver impactful solutions for the business and our customers across the globe.
We are seeking an experienced AI & ML Platform Lead to drive the strategy, architecture, engineering, and enablement of enterprise AI/ML platform capabilities on Google Cloud Platform. This role is responsible for building and managing scalable AI/ML platform services, governance controls, development standards, self-service capabilities, and platform automation that enable Data Science and AI/ML Operations teams to rapidly build, deploy, and manage AI solutions securely and efficiently.
Define and drive the AI/ML platform strategy, roadmap, and architecture.
Design scalable, secure, and reusable platform capabilities on GCP and Vertex AI.
Establish platform standards, reference architectures, and engineering best practices.
Evaluate and adopt emerging AI platform technologies.
Build and manage core AI/ML platform services, frameworks, and shared capabilities.
Develop reusable templates, accelerators, and automation solutions.
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Enable standardized development and deployment patterns across AI teams.
Ensure platform scalability, reliability, and maintainability.
Define platform governance, onboarding standards, and guardrails.
Implement security, access management, compliance, and audit controls.
Establish governance for AI agents, models, APIs, and platform services.
Partner with Enterprise Architecture, Security, Risk, and Legal teams.
Deliver self-service capabilities for AI engineers and data scientists.
Create platform standards, documentation, and reusable assets.
Drive platform adoption and improve developer experience.
Promote consistent engineering practices across AI initiatives.
Establish platform monitoring, logging, alerting, and operational dashboards.
Drive reliability, resilience, performance, and capacity planning.
Define platform SLAs, SLOs, and operational readiness standards.
Partner with AI/ML Operations for production support readiness.
Lead AI/ML platform engineering initiatives and roadmap execution.
Mentor engineers and foster platform engineering best practices.
Collaborate with Data, AI, Security, Infrastructure, and Operations teams.
Communicate platform strategy, progress, risks, and outcomes to leadership.
Global leader in fast food and quick service restaurants.
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Senior · 7+ years experience
Onsite
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