Solution Architect

As a Technical Architect at our company, you will be responsible for leading the design and development of scalable, enterprise-grade applications and AI/ML solutions. Your expertise in system architecture and hands-on experience with Python or C# .Net will be valuable in guiding and mentoring technical teams. Your role will involve client interaction, active participation in technical discussions, and solution design for modern, AI-driven applications such as Retrieval-Augmented Generation (RAG) systems. - Lead the architectural design and development of enterprise-level applications and AI/ML solutions. - Collaborate with business and technical stakeholders to translate requirements into scalable and maintainable architectures. - Design and implement end-to-end solutions focusing on performance, security, and maintainability. - Provide technical leadership and mentoring to development teams. - Conduct code reviews, enforce best practices, and ensure adherence to architectural standards. - Participate in technical discussions with client teams, providing guidance and strategic recommendations. - Oversee integration of AI/ML components, with a strong emphasis on RAG-based solutions. - Evaluate emerging technologies and drive innovation in architecture and solutioning. - Work closely with DevOps and QA teams to support CI/CD, automated testing, and deployment practices. Qualifications Required: - 8 - 10 years of overall experience in software development and architecture. - Proven experience designing and building large-scale enterprise applications. - Proficient in either Python or C# .Net, with strong coding and debugging skills. - Solid understanding of architectural patterns (e.g., microservices, event-driven, layered architecture). - Hands-on experience with cloud platforms (e.g., AWS, Azure, or GCP). - Strong experience working with databases (SQL and NoSQL), APIs, and integration patterns. - Exposure to AI/ML solutions, especially RAG-based architectures (e.g., combining LLMs with vector databases, context-aware search). - Familiarity with vector databases like FAISS, Pinecone, or Weaviate. - Strong understanding of LLMs, embeddings, prompt engineering, and data pipelines. - Excellent communication and interpersonal skills. - Experience interacting with client stakeholders in technical discussions. - Ability to manage technical teams, assign tasks, and ensure high-quality deliverables. Additional Details: No additional details about the company are provided in the job description.,