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This role leads the design, architecture, and delivery of agentic AI platforms and scalable software systems that integrate Large Language Models (LLMs) into production-grade enterprise environments. It is responsible for building backend and microservices-based systems that orchestrate AI agents, APIs, data pipelines, and cloud-native infrastructure. The role ensures AI-driven capabilities are secure, observable, performant, and maintainable at scale. It applies advanced engineering judgment to resolve complex distributed systems challenges and define enterprise AI architecture standards. Success is measured by production reliability of AI systems, technical leadership impact, and the ability to influence enterprise AI strategy and implementation.
Job Responsibility:
Drive architecture and engineering delivery of agentic AI platforms, including LLM-integrated backend systems, microservices, APIs, and distributed cloud-native infrastructure to meet scalability, security, and reliability standards
Provide technical leadership across AI initiatives by mentoring engineers, defining engineering standards for AI systems, and influencing architectural and technology decisions at the organizational level
Define and evaluate AI platform strategies, including microservices architecture, model orchestration patterns, distributed systems design, and cloud deployment models aligned with business objectives
Develop innovative AI-enabled software designs and improvements that enhance existing systems and processes
Produce clear architectural documentation for AI systems and distributed platforms
Also responsible for other duties/projects as assigned by business management as needed
Requirements:
Bachelor's Degree plus 7 years of related work experience OR Advanced degree with 5 years of related experience
Acceptable areas of study include Computer Science or Engineering