AI System Architect

Role Overview: You are actively seeking a highly experienced Architect with 10-12 years of hands-on experience, possessing a strong engineering foundation, polyglot expertise, and deep knowledge in constructing AI systems at scale. Your responsibilities will extend beyond high-level system design as you will be expected to think like an engineer, contribute to code, and architect scalable production-grade platforms fueled by modern AI capabilities. Your pivotal role will involve designing and delivering cutting-edge AI-driven solutions for global clients, encompassing agentic workflows, intelligent automation systems, and data-intensive platforms. Key Responsibilities: - Work hands-on with engineering teams, contributing to code, reviews, and technical problem-solving. - Architect and design scalable, resilient, and high-performance AI systems for production environments. - Design and implement agentic workflows and AI-first architectures. - Build and manage data-intensive distributed systems with real-time processing capabilities. - Integrate and orchestrate multiple AI/ML models (including LLMs) with appropriate guardrails. - Establish strong engineering practices, including code quality & testing standards, feedback loops & observability, fitness functions for architecture governance. - Drive cloud-native architecture decisions (AWS/GCP/Azure). - Ensure systems meet security, scalability, and performance benchmarks. - Lead technical discussions, mentor teams, and guide pragmatic technology decisions. - Collaborate with cross-functional stakeholders to translate business problems into robust technical solutions. Qualifications Required: - Strong foundation in software engineering and system design. - Proven experience in building and scaling distributed systems. - Hands-on expertise in multiple programming languages (polyglot mindset). - Solid experience with cloud-native architectures and microservices. - Practical experience building AI/ML systems in production at scale. - LLM integrations and orchestration. - LLM evaluation frameworks (evals). - Multi-model strategies and guardrails. - Expertise in real-time data processing and streaming architectures. - Performance optimization. - System reliability & observability. - Security best practices. - Ability to balance architecture vision with hands-on execution. (Note: The additional details of the company were not explicitly mentioned in the provided job description.) Role Overview: You are actively seeking a highly experienced Architect with 10-12 years of hands-on experience, possessing a strong engineering foundation, polyglot expertise, and deep knowledge in constructing AI systems at scale. Your responsibilities will extend beyond high-level system design as you will be expected to think like an engineer, contribute to code, and architect scalable production-grade platforms fueled by modern AI capabilities. Your pivotal role will involve designing and delivering cutting-edge AI-driven solutions for global clients, encompassing agentic workflows, intelligent automation systems, and data-intensive platforms. Key Responsibilities: - Work hands-on with engineering teams, contributing to code, reviews, and technical problem-solving. - Architect and design scalable, resilient, and high-performance AI systems for production environments. - Design and implement agentic workflows and AI-first architectures. - Build and manage data-intensive distributed systems with real-time processing capabilities. - Integrate and orchestrate multiple AI/ML models (including LLMs) with appropriate guardrails. - Establish strong engineering practices, including code quality & testing standards, feedback loops & observability, fitness functions for architecture governance. - Drive cloud-native architecture decisions (AWS/GCP/Azure). - Ensure systems meet security, scalability, and performance benchmarks. - Lead technical discussions, mentor teams, and guide pragmatic technology decisions. - Collaborate with cross-functional stakeholders to translate business problems into robust technical solutions. Qualifications Required: - Strong foundation in software engineering and system design. - Proven experience in building and scaling distributed systems. - Hands-on expertise in multiple programming languages (polyglot mindset). - Solid experience with cloud-native architectures and microservices. - Practical experience building AI/ML systems in production at scale. - LLM integrations and orchestration. - LLM evaluation frameworks (evals). - Multi-model strategies and guardrails. - Expertise in real-time data processing and streaming architectures. - Performance optimization. - System reliability & observability. - Security best practices. - Ability to balance architecture vision with hands-on execution. (Note: The additional details of the company were not explicitly mentioned in the provided job description.)