ARCHITECT - Python

Job Title: AI/ML ArchitectExperience: 10+ yearsIndustry: Media Preferred  Role SummaryThe 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. Detailed ResponsibilitiesEnterprise Architecture & Strategy·       Define long-term AI architecture roadmap across:o   NLP, CV, ASR, video AIo   Multimodal LLMso   Recommendation systemso   Content moderation & complianceo   RAG & knowledge systemso   Agentic automation·       Architect scalable ingestion pipelines for high-volume media (10K+ hours of video).·       Define standards for model lifecycle, governance, auditability, and lineage.Platform & Infrastructure·       Architect GPU clusters, distributed compute, and cloud AI platforms.·       Oversee integrations of:o   Media Asset Management (MAM)o   Content Management Systems (CMS)o   Data lake/lakehouseo   Vector databaseso   Observability platformsGovernance & Compliance·       Ensure compliance with:o   Content safety guidelineso   Copyright/IP protectiono   Data privacy lawso   Responsible AI standards (NIST AI RMF)Innovation & Leadership·       Evaluate emerging multimodal and generative AI technologies.·       Drive adoption of LLMOps practices and agentic AI frameworks.·       Present architecture strategies to C-level stakeholders. Must-Have Skills·       Deep expertise in multimodal AI (text–image–audio–video).·       Mastery of LLMs and their ecosystem (fine-tuning, adapters, vector search).·       Expert-level cloud architecture (Azure/AWS/GCP).·       Strong experience in enterprise-scale MLOps + LLMOps.·       Deep exposure to media processing at scale. Preferred Skills·       Knowledge of video generation, audio synthesis, and generative media workflows.·       Experience in building AI COEs or platform teams. Qualifications·       10+ years in AI/ML with at least 3+ years architecting enterprise systems.·       Master's/Ph.D. (preferred).