Sr. Principal AI Architect (IT Workforce Experiences & Communication)

TL;DR

Sr. Principal AI Architect (IT Workforce Experiences & Communication): Defining and driving the architectural strategy for agentic, assistive, and autonomous AI systems across the Workforce Experiences ecosystem with an accent on identifying and implementing AI-driven efficiencies in day-to-day architectural workflows. Focus on replacing manual system mapping with automated documentation and AI-assisted design patterns.

Location: Flexible hybrid work options. You may occasionally be asked to attend in-person events or team sessions.

Salary: $160,965.00 - $349,885.00/yr depending on factors such as your location, skills and experience.

Company

hirify.global is a technology company connecting brands and partners with an audience of hundreds of millions of people.

What you will do

• Define and drive the architectural strategy for agentic, assistive, and autonomous AI systems across the Workforce Experiences ecosystem.
• Identify and implement AI-driven efficiencies in day-to-day architectural workflows, replacing manual system mapping with automated documentation and AI-assisted design patterns.
• Design, develop, and maintain high-quality software applications.
• Collaborate with product managers and engineers across different time zones to understand requirements and develop technical solutions.
• Establish and refine standards and best practices to streamline the development processes.

Requirements

• Master's degree in Computer Science, Engineering, or a related field.
• 8+ years of experience in building APIs, backend development and Devops.
• Expert in at least one programming language, such as Python and Java.
• Expertise in prompt engineering and structured interaction with LLMs to solve complex architectural challenges.
• Proven experience building and deploying GenAI applications, Agentic workflows, and machine learning pipelines in a production environment.
• Can bridge business requirements and technical specifications.

Nice to have

• Strong understanding of data structures, algorithms, and software design principles.
• Familiarity with cloud platforms (e.g., AWS, Google Cloud) and containerization technologies (e.g., Docker, Kubernetes).
• Experience evaluating, refining, and validating AI-generated outputs to mitigate hallucinations and ensure enterprise security.
• Commitment to staying current with the AI tools market and a track record of implementing automation to increase team velocity.
• Team player with good interpersonal skills and the ability to work independently.

Culture & Benefits

• Flexible hybrid work options.
• Comprehensive benefits include healthcare, a great 401k, backup childcare, education stipends and much more.
• Diverse and inclusive workplace.
• Employee resource groups (ERGs) enhance a culture of belonging with programs, events and fellowship that help educate, support and create a workplace where all feel welcome.