Senior Architect (AI Automation & Systems)

Role Overview: As a Senior Architect specializing in AI Automation, your primary responsibilities will involve AI Agent Development, LLM Integration, Python Backend development, System Design, API development, Microservices architecture, RAG implementation, AI Automation, and production deployment of AI-driven systems. Your expertise in SQL/NoSQL databases will be crucial in ensuring the smooth functioning of these systems. Previous experience in team leadership is preferred for this role. Key Responsibilities: - Develop AI Agents and integrate them with LLM systems - Design and implement Python Backend functionalities - Create system designs for AI-driven applications - Develop and maintain APIs for seamless data communication - Implement Microservices architecture for scalability - Utilize RAG methodology for risk assessment and governance - Automate AI processes to improve efficiency - Manage SQL/NoSQL databases for data storage and retrieval - Lead the team towards successful project completion Qualifications Required: - Proficiency in AI development and automation - Strong background in Python programming - Experience in designing and deploying systems - Familiarity with API development and Microservices architecture - Knowledge of SQL/NoSQL databases - Prior experience in AI-driven system deployment - Team leadership skills and experience (Note: No additional details of the company were provided in the job description) Role Overview: As a Senior Architect specializing in AI Automation, your primary responsibilities will involve AI Agent Development, LLM Integration, Python Backend development, System Design, API development, Microservices architecture, RAG implementation, AI Automation, and production deployment of AI-driven systems. Your expertise in SQL/NoSQL databases will be crucial in ensuring the smooth functioning of these systems. Previous experience in team leadership is preferred for this role. Key Responsibilities: - Develop AI Agents and integrate them with LLM systems - Design and implement Python Backend functionalities - Create system designs for AI-driven applications - Develop and maintain APIs for seamless data communication - Implement Microservices architecture for scalability - Utilize RAG methodology for risk assessment and governance - Automate AI processes to improve efficiency - Manage SQL/NoSQL databases for data storage and retrieval - Lead the team towards successful project completion Qualifications Required: - Proficiency in AI development and automation - Strong background in Python programming - Experience in designing and deploying systems - Familiarity with API development and Microservices architecture - Knowledge of SQL/NoSQL databases - Prior experience in AI-driven system deployment - Team leadership skills and experience (Note: No additional details of the company were provided in the job description)