Solution Architect – AI / Data / Full Stack

Job Summary

Key Responsibilities

• Design end-to-end technology solutions across AI, Data, Cloud, and Full Stack platforms.
• Understand business and technical requirements and translate them into scalable solution architectures.
• Define application architecture, technology stack, integration patterns, APIs, and data architecture.
• Design solutions leveraging Generative AI, LLMs, Machine Learning, Data Engineering, and Analytics.
• Develop cloud-native solutions using Azure, AWS, or GCP.
• Provide technical leadership and guidance to development and engineering teams.
• Review technical designs, code approaches, and architecture decisions.
• Support POCs, technical evaluations, and solution demonstrations.
• Collaborate with Presales and Sales teams on RFPs, proposals, estimations, and client presentations.
• Ensure solutions meet requirements for security, scalability, performance, availability, and maintainability.
• Stay updated with emerging technologies and recommend suitable solutions based on business needs.

Required Skills

• Strong experience in Solution Architecture and Enterprise Application Design.
• Strong knowledge of AI/ML, Generative AI, LLMs, RAG, and AI application development.
• Strong understanding of Data Engineering, Data Lakes, ETL/ELT, Databricks, Snowflake, and Analytics.
• Good experience with Full Stack technologies such as Python/Java/.NET, React/Angular, APIs, and Microservices.
• Strong knowledge of Azure, AWS, or GCP cloud platforms.
• Experience with databases, distributed systems, integration, and API architecture.
• Strong understanding of security, scalability, performance, and cloud architecture.
• Excellent communication, problem-solving, and client-facing skills.

Experience

• 10+ years of overall experience in software engineering, architecture, or technology consulting.
• Proven experience as a Solution Architect / Technical Architect across AI, Data, Cloud, or Full Stack technologies.

Preferred

• Experience working with enterprise/global clients.
• Experience in client-facing architecture discussions and technical workshops.
• Experience in presales, RFP/RFI responses, and solution proposals.
• Cloud, AI, Data, or Architecture certifications will be an added advantage.