AI Architect (Agentic Platform)

Location: hirify.global has offices in New York, London, Singapore, and Tel Aviv; the company describes a hybrid work model.

Company

hirify.global is a global video technology company providing live, on-demand, and real-time video products to more than 1,000 organizations.

What you will do

• Own the end-to-end architecture of the real-time conversational and offline video paths, defining boundaries between speech, avatar, and agentic layers.
• Drive platform decisions covering speech pipeline composition, orchestration and transport frameworks, model routing, and build-versus-adopt choices.
• Architect the integration of new built, adopted, or acquired capabilities into a converged target architecture.
• Design for latency, cost, reliability, and graceful degradation across multi-tenant production systems.
• Define long-term memory architecture and privacy controls for consent, retention, erasure, and data residency.
• Establish cross-platform interfaces, engineering standards, technical governance, evaluation, tracing, and observability practices.

Requirements

• Bachelor’s degree in Computer Science or an equivalent technical field is mandatory.
• 12+ years of industry experience, including 5+ years as a principal, staff, or lead architect owning production platform design.
• Experience architecting distributed, multi-tenant production systems with accountability for latency, cost, and reliability.
• Strong cloud experience and hands-on experience with agentic systems, LLMs, orchestration, tool calling, MCP, retrieval, and production failure modes.
• Experience with real-time streaming transport, latency budgets, graceful degradation, AI evaluation, tracing, and observability.
• Strong Python skills and the ability to prototype, write code, and review code closely.

Nice to have

• Experience at a SaaS company and with speech technologies such as ASR, TTS, or speech-to-speech.
• Experience with generative video, avatar generation, diffusion or flow-matching models, and real-time media frameworks.
• Experience with enterprise governance, compliance, and multilingual systems.
• Master’s or Ph.D. in Computer Science, Machine Learning, or a related field.

Culture & Benefits

• Collaborative environment where initiative is encouraged and employees have a voice.
• Hybrid work model with flexible working practices.
• Cloud-based technology environment and opportunities to work across a broad product portfolio.
• Global organization with offices in New York, London, Singapore, and Tel Aviv.