Principal GenAI Software Engineer
Job Responsibilities • Drive the architecture, design, and production deployment of enterprise-scale software development releases using generative AI systems, including LLM orchestration, Agent/Skill creation, retrieval-augmented generation, evaluation, and operational monitoring. • Design and implement modular AI agents that connect to our core systems • Create clean abstractions that let non-technical users to leverage these agents into useful workflows without writing code. • Provide technical leadership by mentoring engineers and influencing technology and policy decisions across the organization • Establish GenAI engineering standards, reference architectures, and guardrails to ensure scalability, security, cost efficiency, and responsible AI use across multiple teams. • Create templates, patterns, and documentation that accelerate everyone's ability to deliver. • Develop innovative generative-AI enabled software designs and improvements that enhance existing systems and processes Produce clear technical documentation and architecture descriptions for internal and external stakeholders Also responsible for other duties/projects as assigned by business management as needed Education and Work Experience Bachelor's Degree plus 7 years of related work experience OR Advanced degree with 5 years of related experience (Required) Acceptable areas of study include Computer Science or Engineering (Required) 7-10 years Technical engineering experience. (Required) Preferred Qualifications Proven track record of architecting and scaling enterprise-grade GenAI platforms (LLM orchestration, agent frameworks) that serve multiple teams and operate reliably in production.
Job Responsibilities • Drive the architecture, design, and production deployment of enterprise-scale software development releases using generative AI systems, including LLM orchestration, Agent/Skill creation, retrieval-augmented generation, evaluation, and operational monitoring. • Design and implement modular AI agents that connect to our core systems • Create clean abstractions that let non-technical users to leverage these agents into useful workflows without writing code. • Provide technical leadership by mentoring engineers and influencing technology and policy decisions across the organization • Establish GenAI engineering standards, reference architectures, and guardrails to ensure scalability, security, cost efficiency, and responsible AI use across multiple teams. • Create templates, patterns, and documentation that accelerate everyone's ability to deliver. • Develop innovative generative-AI enabled software designs and improvements that enhance existing systems and processes Produce clear technical documentation and architecture descriptions for internal and external stakeholders Also responsible for other duties/projects as assigned by business management as needed Education and Work Experience Bachelor's Degree plus 7 years of related work experience OR Advanced degree with 5 years of related experience (Required) Acceptable areas of study include Computer Science or Engineering (Required) 7-10 years Technical engineering experience. (Required) Preferred Qualifications Proven track record of architecting and scaling enterprise-grade GenAI platforms (LLM orchestration, agent frameworks) that serve multiple teams and operate reliably in production.