AI Labs - Technical Product Architect

E Solutions; Dadri; On-site; INR 3,200,000 - 5,200,000; Full time

Job summary

E Solutions is seeking a seasoned Architect/PM leader to own the end-to-end architecture for AI-driven video interviewing and recruiter workflows. You will define scalable, secure, modular architectures and drive platform modernization for enterprise customers.

You will translate customer requirements into product capabilities, lead multi-team collaboration, and set governance across AI, video, and NLP components with a focus on performance, security and compliance.

Qualifications

• Experience designing scalable, secure enterprise architecture for AI/video interviewing platforms.
• Strong product management skills with backlog & release planning.
• Deep understanding of AI interviewing, speech-to-text, LLMs, and evaluation.
• Experience with multi-tenant enterprise SaaS and RBAC.
• Leadership in architecture standards and governance.
• Familiarity with HireVue, Spark Hire or similar platforms is a plus.

Responsibilities

• Own 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.
• 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.
• Drive architecture/productization of multi-tenancy, RBAC, API gateways, and ATS/HRMS integrations.
• Mentor architects and senior engineers; drive technical debt reduction and platform modernization.

Skills

Distributed systems

Microservices

Cloud-native

REST APIs

Kubernetes

CI/CD

Observability

LLMs

RAG

NLP

WebRTC

Video processing

Media pipelines

AI evaluation

Product mgmt

Agile

Tools

Twilio

Vonage

AWS

Azure

GCP

Job description

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.

2. 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.

3. AI & Video Interviewing

The candidate should have strong understanding of:

• AI interviewer / conversational AI
• Dynamic and adaptive interview questioning
• Job Description + 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

4. Enterprise Platform Capabilities

Drive architecture/productization of:

• Multi-tenancy and tenant isolation
• RBAC and enterprise identity integration
• API gateway and partner integrations
• ATS / HRMS integrations
• Interview scheduling and notifications
• Candidate and recruiter portals
• Analytics and dashboards
• Audit trails and data lineage
• Consent, privacy and data retention
• Security and compliance
• Monitoring, SLA and production support architecture

5. 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

Video / Communication

• WebRTC or equivalent real-time video technologies
• Video/audio streaming and processing
• STT/TTS
• Recording, storage and media pipelines
• Experience with Twilio, Vonage or equivalent communication platforms is desirable.

Product

• Product lifecycle management
• Product roadmap and prioritization
• Agile/Scrum
• Customer discovery
• Competitive analysis
• 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.
• Build scalable architecture supporting enterprise customers and high-volume interviews.
• 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.