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)