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Experience 8 yrs Location: GIFT CITY, Gandhinagar Qualification: Bachelor s degree/M.Tech in Computer Science, Information Technology, Engineering We are looking for a highly driven and hands-on Solution Architect who can independently design, evaluate, and drive complex technical solutions across AI/ML, cloud infrastructure, and enterprise systems. This role is not limited to architecture documentation - you will be expected to think like a CTO, take ownership of ambiguous problems, and deliver practical, scalable solutions. Key Responsibilities End-to-End Solution Design. Translate business problems, RFPs, and client requirements into scalable technical architectures Design systems involving microservices, cloud infrastructure, AI/ML pipelines, and data platforms Technical Decision Making Evaluate trade-offs (cost, scalability, performance, time-to-market) Make independent decisions on tech stack, architecture patterns, and integrations AI/ML & Automation Use Cases Design solutions involving LLMs, RAG pipelines, OCR, and automation workflows Evaluate tools like Bedrock, SageMaker, OpenAI, open-source LLMs, etc. Drive AI-augmented engineering practices by integrating LLMs and automation into development workflows (e.g., code generation, test creation, architecture design, and documentation), and identify opportunities to improve team productivity using AI. Cloud & Infrastructure Architecture Architect systems with strong reliability guarantees, including high availability (HA), automated failover, backup strategies, and disaster recovery (DR) planning across multiple availability zones and regions/data centers. Design data layers involving MySQL, MongoDB, Elasticsearch, Redis, Kafka, ClickHouse, etc. Pre-Sales & RFP Support Analyze RFPs and define solution approaches Create architecture diagrams, effort estimations, and technical proposals Hands-on Problem Solving Debug architectural issues in production systems Work closely with engineering teams to unblock critical challenges Governance & Best Practices Define architecture standards, coding practices, and deployment strategies Ensure security, performance, and reliability across systems Required Skills & Experience 8+ years of experience in software engineering, with 3+ years in architecture roles Strong experience with: Microservices architecture Cloud platforms (AWS/Azure/GCP) Distributed systems and high-scale applications Hands-on experience with: APIs, backend systems, and databases Kubernetes / containerized deployments Exposure to AI/ML systems (LLMs, RAG, NLP, CV) is a strong plus Strong understanding of high availability (HA), failover strategies, and disaster recovery (DR) planning (RTO/RPO, backups, replication, multi-region setups). Experience in handling enterprise clients and complex requirements What We Are Looking For Ownership mindset - does not wait for instructions Strong problem-solving ability - can handle ambiguity Consultative thinking - goes beyond what is asked Execution focus - delivers workable solutions, not just ideas Ability to challenge assumptions - including those from leadership Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.
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