Solutions Architect

As a highly versatile Solution Architect, you will play a crucial role in leading the design of innovative, scalable solutions across traditional software and AI-powered platforms. Your responsibilities will include: - Translating complex business problems into technical architecture and implementation plans - Designing end-to-end solutions involving software components, cloud infrastructure, data flows, and AI/ML models - Identifying trade-offs between build vs. buy, scalability, and time-to-market - Analyzing existing systems/platforms and estimating the cost, timeline, and resources required for rebuilding or modernization - Working with cross-functional teams to develop detailed project plans and technical documentation - Building quick proof-of-concepts or minimum viable products (MVPs) to test assumptions - Running feasibility checks for AI/ML-based ideas using tools like OpenAI, Hugging Face, LangChain, or custom models - Evaluating and benchmarking third-party APIs, platforms, or tools for integration - Staying updated on the latest cloud platforms, software frameworks, and AI/ML technologies - Acting as a technical advisor to product and business teams, guiding them on the feasibility and implications of ideas - Working closely with product managers, data scientists, engineers, and business stakeholders to align requirements and technical direction - Supporting engineering and product teams during build, helping resolve architectural or design issues Your qualifications should include: - Proven track record of designing and delivering scalable software solutions end-to-end - Strong experience with cloud architecture, microservices, APIs, and full-stack development - Exposure to AI/ML technologies, ideally including generative AI, NLP, or automation tools - Hands-on ability to prototype solutions using Python, Node.js, or similar frameworks - Deep understanding of system design principles, cost/performance optimization, and technical trade-offs - Strong analytical and estimation skills - Exceptional communication and storytelling ability Preferred qualifications include: - Bachelors degree in technology (B.Tech) or Master of Computer Applications (MCA) required; MBA or MS preferred - 7+ years of experience in software engineering, solution architecture, or technology consulting roles - Experience working with LLMs, AI APIs, and orchestration tools like LangChain - Prior experience in startups, innovation labs, or consulting firms a plus - Exposure to DevOps, CI/CD, and infrastructure-as-code preferred - Experience with vendor evaluations and RFP processes is a bonus Please note that the compensation structure will be discussed during the interview.,