Principal Solutions Engineer (Enterprise AI)

TL;DR

Principal Solutions Engineer (Enterprise AI): Driving technical strategy and solution design for high-value enterprise AI adoption with an accent on LLM integration and executive alignment. Focus on architecting production-ready AI systems and bridging the gap between complex customer requirements and product development.

Location: Must be based in New York, NY; San Francisco, CA, or Seattle

Salary: $180,000 - $225,000 USD

Company

hirify.global develops reliable AI systems, providing high-quality data and full-stack technologies that power the world's leading models and help enterprises and governments build AI applications.

What you will do

• Own technical strategy and execution for the company’s most complex, high-value enterprise AI opportunities.
• Serve as a trusted advisor to executive stakeholders (CTOs, Heads of AI) guiding long-term AI/LLM adoption strategies.
• Architect and lead end-to-end solution designs from discovery through pilots and productionization.
• Drive cross-functional alignment across Sales, Product, and Engineering to unblock critical technical challenges.
• Define multi-phase Scopes of Work, translating ambiguous customer problems into scalable solutions.
• Mentor other Solutions Engineers and establish best practices for demos, pilots, and technical sales strategy.

Requirements

• Deep technical background in customer-facing engineering roles (pre-sales or forward-deployed) at enterprise hirify.global.
• Proven track record of closing complex technical deals with Fortune 500 or equivalent enterprises.
• Strong systems thinking and architecture experience across cloud, data, and AI/ML systems.
• Hands-on experience with programming languages such as Python or Java.
• Ability to navigate ambiguity, influence without authority, and communicate effectively with executive audiences.
• Must be located in New York, San Francisco, or Seattle.

Nice to have

• Deep experience with Generative AI and LLM applications in enterprise environments.
• Background in forward-deployed engineering or building production-grade ML systems.
• Experience in regulated industries such as financial services, insurance, or healthcare.

Culture & Benefits

• Comprehensive health, dental, and vision coverage.
• Equity compensation and retirement benefits.
• Learning and development stipend.
• Generous PTO and commuter stipend.
• Inclusive and equal opportunity workplace.