Solution Architect - Full Stack and AI

Job Description: Solution Architect - Full Stack and AI

Role Overview

We are looking for a hands-on Solution Architect with a strong full-stack development background and experience building AI-powered product features.

The role will own enterprise solution delivery from requirement discovery and architecture design through development, integration, deployment, and production stabilization. This is not a documentation-only architecture role. The candidate should be comfortable reviewing code, building prototypes, solving integration issues, and guiding engineering teams through implementation.

Key Responsibilities

• Understand business requirements and convert them into practical technical solutions.
• Own solution delivery from discovery through production rollout.
• Design scalable full-stack applications, enterprise integrations, APIs, workflows, and AI-enabled features.
• Define system architecture, application components, data flows, integration patterns, and deployment models.
• Build prototypes and proof-of-concept solutions for complex integrations and AI use cases.
• Work closely with frontend, backend, AI, DevOps, and customer technology teams.
• Review code, architecture decisions, API contracts, database models, and implementation approaches.
• Design integrations using REST APIs, webhooks, event-driven systems, message queues, and scheduled processes.
• Build or guide the development of AI features such as conversational interfaces, document processing, intelligent search, recommendations, copilots, and workflow automation.
• Design secure and reliable integrations with enterprise systems and third-party platforms.
• Define authentication, authorization, data transformation, error handling, retries, monitoring, and audit logging.
• Identify technical risks, dependencies, and scalability constraints early in the delivery cycle.
• Support testing, deployment, troubleshooting, and post-production stabilization.
• Create reusable architecture patterns, components, integration templates, and engineering standards.

Required Experience

• Strong experience as a Full Stack Developer, Technical Lead, Solution Architect, or Engineering Lead.
• Hands-on experience building and delivering production-grade web applications.
• Strong frontend experience with React,Next.js, JavaScript, or similar technologies.
• Strong backend experience with Node.js, Python, Java, or similar server-side technologies.
• Experience designing REST APIs, microservices, databases, authentication systems, and distributed applications.
• Experience integrating enterprise platforms, third-party applications, and external APIs.

• Hands-on experience building AI-powered features using large language models or machine learning services.
• Experience working with LLM APIs, prompt design, structured outputs, tool calling, retrieval-based systems, or agentic workflows.
• Understanding of relational and NoSQL databases, caching, queues, and search systems.
• Experience with cloud platforms such as AWS, Azure, or Google Cloud.
• Understanding of Docker, CI/CD, application monitoring, and production deployment.
• Ability to translate business requirements into executable technical plans.
• Strong problem-solving, communication, and stakeholder-management skills.

Preferred Experience

• Experience building enterprise SaaS products or internal business platforms.
• Experience with HRMS,ERP, CRM, payroll, workforce management, finance, or operations systems.
• Experience with vector databases, embeddings, semantic search, RAG pipelines, or document intelligence.
• Familiarity with AI orchestration frameworks and agent development patterns.
• Experience with API gateways, middleware, iPaaS platforms, or event-streaming systems.
• Understanding of data privacy, access control, encryption, auditability, and enterprise security.
• Experience leading small engineering teams or coordinating delivery across multiple technical teams.

Expected Technical Profile

The ideal candidate should be able to:

• Design the complete solution architecture.
• Build or review front end and backend components.
• Create APIs and integration services.
• Prototype AI-powered product features.
• Evaluate technical trade-offs.
• Debug issues across the full application stack.
• Guide developers during implementation.
• Work directly with customers and enterprise technology teams.
• Take technical ownership until the solution is successfully deployed.

Success Measures

• Solutions are delivered within agreed scope and timelines.
• Architecture decisions translate cleanly into working software.
• AI features are useful, reliable, secure, and production-ready.
• Integrations remain scalable and maintainable after deployment.
• Technical risks and delivery blockers are identified early.
• Engineering teams receive clear implementation direction.
• Production issues are minimized and resolved quickly.

Education

Bachelor's degree in Computer Science, Engineering, Information Technology, or a related field is preferred. Equivalent hands-on engineering and product-building experience will also be considered.