Job Description We are seeking a highly skilled and experienced Technical Architect to lead the design and development of scalable, enterprise-grade applications and AI/ML solutions. The ideal candidate will have deep expertise in system architecture, hands-on experience with Python or C# .Net, and the ability to guide and mentor technical teams. This role involves client interaction, active participation in technical discussions, and solution designespecially for modern, AI-driven applications such as Retrieval-Augmented Generation (RAG) systems. Key Responsibilities 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 with a focus 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. Required Skills And Qualifications 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 Qualifications : Experience with containerization (Docker, Kubernetes). Exposure to MLOps and deployment of AI models in production. Experience in Agile/Scrum methodologies. Certifications in cloud architecture (AWS Solutions Architect, Azure Architect, etc.) or AI/ML will be a plus. (ref:hirist.tech) Show more Show less