Description :

Job Spec

AI/ML Architect

Job Title : AI/ML Architect

Experience : 10+ years

Industry : Media Preferred

Role Summary :

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.

Detailed Responsibilities :

Enterprise Architecture & Strategy :

- Define long-term AI architecture roadmap across :

a. NLP, CV, ASR, video AI

b. Multimodal LLMs

c. Recommendation systems

d. Content moderation & compliance

e. RAG & knowledge systems

f. 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 :

- Media Asset Management (MAM)

- Content Management Systems (CMS)

- Data lake/lakehouse

- Vector databases

- Observability platforms

Governance & Compliance :

Ensure compliance with :

- Content safety guidelines

- Copyright/IP protection

- Data privacy laws

- 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 (textimageaudiovideo).

- 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.

Masters/Ph.D. (preferred)