The AI/ML Architect shapes the AI strategy and leads enterprise-level architecture for multimodal AI in the media organization. This includes building capabilities across media understanding, LLM workflows, multimodal RAG, real-time metadata enrichment, content intelligence, personalization, and scalable AI platform infrastructure.
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Define long-term AI architecture roadmap across:
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NLP, CV, ASR, video AI
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Multimodal LLMs
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Recommendation systems
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Content moderation & compliance
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RAG & knowledge systems
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Agentic automation
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Architect scalable ingestion pipelines for high-volume media (10K+ hours of video).
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Define standards for model lifecycle, governance, auditability, and lineage.
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Architect GPU clusters, distributed compute, and cloud AI platforms.
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Oversee integrations of:
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Media Asset Management (MAM)
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Content Management Systems (CMS)
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Data lake/lakehouse
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Vector databases
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Observability platforms
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Ensure compliance with:
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Content safety guidelines
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Copyright/IP protection
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Data privacy laws
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Responsible AI standards (NIST AI RMF)
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Evaluate emerging multimodal and generative AI technologies.
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Drive adoption of LLMOps practices and agentic AI frameworks.
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Present architecture strategies to C-level stakeholders.
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Deep expertise in multimodal AI (text–image–audio–video).
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Mastery of LLMs and their ecosystem (fine-tuning, adapters, vector search).
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Expert-level cloud architecture (Azure/AWS/GCP).
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Strong experience in enterprise-scale MLOps + LLMOps.
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Deep exposure to media processing at scale.
Preferred skills
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Knowledge of video generation, audio synthesis, and generative media workflows.
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Experience in building AI COEs or platform teams.
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10+ years in AI/ML with at least 3+ years architecting enterprise systems.
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Master’s/Ph.D
