Paycom
Overview
Paycom is seeking a self-motivated AI Architect with a passion for building innovative products and driving beyond expectations. In this role, you will collaborate closely with software engineers to deliver world-class AI solutions to our clients. This is a unique opportunity to shape a product from the ground up, work alongside a team of talented technologists, and serve as a trusted advisor on AI strategy and implementation. Responsibilities
Define architectural changes that can be implemented incrementally, while minimizing risk. Collaborate with a variety of stakeholders to determine architectural priorities, especially in AI model deployment and MLOps workflows. Design and implement autonomous or semi-autonomous AI agents capable of multi-step reasoning, decision-making, and tool orchestration. Create innovative applications leveraging generative AI for text, data extraction, summarization, and reasoning tasks. Define and evolve model governance, monitoring, drift detection and re-training workflows. Advocate for security and ethical AI practices in compliance with OWASP ML Top 10 and relevant standards. Design and evolve AI/ML pipelines and software architecture to support continuous delivery and model lifecycle management. Automate batch inference workflows and integrate AI features into both internal tools and customer-facing products. Partner with cross-functional teams to ensure AI solutions are reliable, scalable, and business-impactful. Build, fix, and improve code, especially high-value AI/ML services and APIs Architect, design, and implement scalable AI/ML systems across cloud and on premise environments. Design advancements in architecture that move software and AI/ML pipelines forward. Train team members on AI/ML practices, new techniques, and past mistakes. Lead the design, development, and deployment of GenAI models and intelligent agents. Architect and implement scalable AI/ML systems across cloud and on-premise environments. Translate complex technical concepts into clear insights for non-technical stakeholders. Mentor team members on AI/ML techniques, tooling and best practices. Perform regular and thorough market research, both with our existing vendors, and prospective vendors to stay one step ahead of the latest trends in the AI space. Define the test plan to collect data on accuracy, reliability, performance, power, and robustness of the design. Contribute to technical conversations and documentation (e.g., white papers, schematics, FDD, HLDR).
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Paycom is seeking a self-motivated AI Architect with a passion for building innovative products and driving beyond expectations. In this role, you will collaborate closely with software engineers to deliver world-class AI solutions to our clients. This is a unique opportunity to shape a product from the ground up, work alongside a team of talented technologists, and serve as a trusted advisor on AI strategy and implementation. Responsibilities
Define architectural changes that can be implemented incrementally, while minimizing risk. Collaborate with a variety of stakeholders to determine architectural priorities, especially in AI model deployment and MLOps workflows. Design and implement autonomous or semi-autonomous AI agents capable of multi-step reasoning, decision-making, and tool orchestration. Create innovative applications leveraging generative AI for text, data extraction, summarization, and reasoning tasks. Define and evolve model governance, monitoring, drift detection and re-training workflows. Advocate for security and ethical AI practices in compliance with OWASP ML Top 10 and relevant standards. Design and evolve AI/ML pipelines and software architecture to support continuous delivery and model lifecycle management. Automate batch inference workflows and integrate AI features into both internal tools and customer-facing products. Partner with cross-functional teams to ensure AI solutions are reliable, scalable, and business-impactful. Build, fix, and improve code, especially high-value AI/ML services and APIs Architect, design, and implement scalable AI/ML systems across cloud and on premise environments. Design advancements in architecture that move software and AI/ML pipelines forward. Train team members on AI/ML practices, new techniques, and past mistakes. Lead the design, development, and deployment of GenAI models and intelligent agents. Architect and implement scalable AI/ML systems across cloud and on-premise environments. Translate complex technical concepts into clear insights for non-technical stakeholders. Mentor team members on AI/ML techniques, tooling and best practices. Perform regular and thorough market research, both with our existing vendors, and prospective vendors to stay one step ahead of the latest trends in the AI space. Define the test plan to collect data on accuracy, reliability, performance, power, and robustness of the design. Contribute to technical conversations and documentation (e.g., white papers, schematics, FDD, HLDR).
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