Key Responsibilities
1. Product & Technology Architecture
Own the end-to-end architecture and technology roadmap. Define scalable, secure and modular architecture for video interviewing, AI interviewing, candidate assessment and recruiter workflows.
Design AI/ML architecture covering LLMs, speech-to-text, NLP, conversational AI, RAG, multimodal AI and AI-based evaluation.
Define architecture for real-time and asynchronous video/audio processing.
Drive API-first, microservices and cloud-native architecture.
Ensure scalability, availability, observability and performance for enterprise workloads.
1. Product Management
Translate customer/business requirements into product capabilities, architecture and roadmap. Own/drive product backlog, feature prioritization and release planning in partnership with Product/Business teams.
Conduct competitive benchmarking against platforms such as HireVue, Spark Hire and other AI interviewing platforms.
Identify product gaps and define capabilities required to make products enterprise and market competitive.
Balance build vs. buy vs. integrate decisions for AI, video, communication and assessment components.
1. AI & Video Interviewing
The candidate should have robust understanding of: AI interviewer / conversational AI
Dynamic and adaptive interview questioning
+ Resume-based question generation
Speech-to-text and multilingual transcription
LLM-based interview summarization
Competency-based scoring and evaluation
Video/audio intelligence and multimodal AI
Interview scorecards and structured evaluation
AI-driven candidate ranking and recommendations
Anti-cheating / interview integrity capabilities
Human-in-the-loop AI evaluation
1. Product Engineering Leadership
Work closely with Engineering, AI/ML, UX,
QA, DevOps and Product teams. Establish architecture standards and technical governance.
Review technical designs and ensure engineering alignment with product roadmap.
Mentor architects and senior engineers.
Drive technical debt reduction and platform modernization.
Required Skills
Architecture
Distributed systems / microservices
Cloud-native architecture AWS/Azure/GCP
REST APIs, event-driven architecture and API gateways
Databases, caching, messaging and data platforms
Kubernetes / containers
CI/CD, observability and SRE principles
AI
LLMs and GenAI
RAG and vector databases
Conversational AI / AI Agents
NLP and speech technologies
Multimodal AI
AI evaluation and model governance
Product
Product lifecycle management
Product roadmap and prioritization
Agile/Scrum
Customer discovery
Build vs. buy decisions
Enterprise SaaS product management
Preferred Experience
Candidates from AI-powered HRTech, Video Interviewing, Assessment, Recruitment SaaS, Conversational AI or Enterprise SaaS platforms will be preferred.
Experience working on products comparable to HireVue, Spark Hire, VidCruiter, Modern Hire or other AI/video interviewing platforms would be highly valuable.
Key Success Measures The person should be able to:
Define the product and technology roadmap.
Establish strong AI evaluation, security, privacy and governance capabilities.
Identify competitive gaps and convert them into prioritized product capabilities.
Reduce dependency on fragmented third-party components through a clear build/buy/integrate strategy.
Work across Product + Engineering + AI/ML + Business and drive execution.
Interested candidates can share resume at
[email protected] or call at (phone hidden).
📌 AI Labs - AI Technical Product Architect (Noida)
🏢 e-Solutions
📍 Noida