Solution Architect & AI Engineer

Job description: Solution Architect Job Marketplace Platform Experience Required 8–10+ years of hands-on experience in Software Architecture, Enterprise Application Design, Cloud Platforms, Database Architecture, and AI-driven solutions . Proven experience in designing and delivering scalable web and mobile applications with high availability and performance. Strong expertise in modern technology stacks, system integration, cybersecurity, DevOps practices, and performance optimization. Experience working with product-based platforms, marketplace applications, or large-scale digital platforms is preferred. Role Overview We are looking for an experienced Senior Solution Architect to define and drive the technology vision, architecture strategy, and implementation roadmap for a scalable Job Marketplace Platform . The role requires strong technical leadership across application architecture, cloud infrastructure, data platforms, AI capabilities, and engineering best practices. Key ResponsibilitiesSolution Architecture & Technical Leadership Design and define end-to-end architecture for a scalable, secure, and high-performance Job Marketplace platform. Define technology stack, architecture patterns, coding standards, and engineering best practices. Develop architecture strategies covering: Scalability Reliability Security Performance Disaster Recovery High Availability Review technical designs, development deliverables, and provide architectural guidance to engineering teams. Collaborate with product, engineering, and business teams to translate requirements into scalable technology solutions. Technology & Platform Architecture Provide technical expertise across: Frontend Technologies React.js, Next.js, Angular, and modern UI frameworks Backend Technologies .NET, Node.js, Java, Python, REST APIs, Microservices architecture Database & Data Platforms PostgreSQL, MySQL, MongoDB, Redis Data modelling, indexing, query optimization, and database scaling strategies Cloud & DevOps AWS / Azure / GCP cloud architecture Containerization, CI/CD pipelines, Infrastructure as Code Monitoring, logging, and operational excellence practices AI & Intelligent Platform Innovation Identify and architect AI-driven capabilities across the platform, including: AI-powered Job Matching Engine Resume Parsing and Candidate Profiling Candidate Ranking and Recommendation Systems Skill Gap Analysis AI-based Talent Insights and Analytics AI Chat Assistant and Conversational Interfaces Intelligent Search and Personalization Features Work closely with AI/ML teams to define solution approaches, data requirements, and implementation strategies. Database, Performance & Reliability Engineering Design scalable database architecture and data management strategies. Define data models, API integration patterns, and optimization frameworks. Improve platform performance through: Caching strategies Load optimization Database tuning Application performance monitoring Establish best practices for reliability, security, and operational readiness. Required Skills Strong knowledge of enterprise architecture principles and design patterns. Experience with cloud-native application architecture. Strong understanding of API design, microservices, distributed systems, and security frameworks. Ability to evaluate technology choices and recommend scalable solutions. Strong problem-solving, communication, and technical leadership skills. Preferred Qualifications Experience building AI-enabled digital products or marketplace platforms. Experience mentoring engineering teams and driving architecture governance. Knowledge of AI/ML integration patterns and data-driven product development. Salary: Negotiable (based on experience and technical expertise) Work Location: In person