Solutions Architect (Pre Sales)

Why work with us

How the job actually works

Remote-First Culture

Work from anywhere with flexible hours and global collaboration.

Learning & Development

Continuous learning opportunities and skill development programs.

Work-Life Balance

Flexible schedules and time off to maintain healthy work-life balance.

Selection process

What happens after you write to us

• 1

AI Telephonic Interview

A short screening call with our AI interviewer, on any phone, at a time that suits you.

• 2

AI Video Interview

Role-specific questions answered on video, reviewed by our team.

• 3

Interview / Technical Test

An interview with team members, or a practical test of your skills.

• 4

Offer

Final decision and offer discussion.

Solutions Architect (Pre Sales)

Sales Hybrid / In-office 5-8 years Full-Time

Design and architect AI-powered assessment and proctoring solutions for enterprise clients. Bridge the gap between technical capabilities and business requirements while showcasing advanced AI, cloud, and ML technologies.

What you’ll do

• Design end-to-end solution architectures incorporating AI/ML models, cloud infrastructure, and real-time video streaming
• Create technical architecture diagrams showing integration of ChatGPT, Google Gemini, and custom ML models
• Conduct technical discovery sessions to understand client requirements and data infrastructure
• Develop integration strategies for connecting our platform with client LMS, HRIS, and other enterprise systems
• Present cloud architecture solutions (AWS, GCP, Azure) ensuring scalability, security, and compliance
• Design data flow architectures showing how AI processes assessment data, video streams, and document verification
• Create proof-of-concept implementations demonstrating AI capabilities and custom integrations
• Provide technical guidance on API integrations, SSO implementation, and data security measures
• Use SQL and data modeling to design custom reporting and analytics solutions
• Collaborate with sales teams to respond to RFPs with detailed technical specifications

Required skills & technologies

• Cloud Architecture: AWS, Google Cloud Platform, Azure (EC2, Lambda, SageMaker, GKE, AKS)
• AI/ML Platforms: Understanding of LLM deployment, ML model serving, ChatGPT/Google Gemini integration
• Solution Design: Enterprise architecture patterns, microservices, API design (REST, GraphQL)
• Database: SQL (PostgreSQL, MySQL), NoSQL (MongoDB), data warehousing (BigQuery, Redshift)
• Integration: API gateways, ESB, ETL tools, webhook architectures
• Security: OAuth 2.0, SAML, SSO, encryption, compliance standards (SOC 2, GDPR)
• Video Technology: WebRTC architecture, streaming protocols, CDN configuration
• Documentation: Lucidchart, Draw.io, Confluence for architecture diagrams
• DevOps: Docker, Kubernetes, CI/CD pipelines understanding
• CRM/Sales Tools: Salesforce, HubSpot for opportunity management
• Technical writing skills for proposals, RFPs, and technical documentation