Back
Company hidden
2 months ago

Senior Solutions Engineer (AI)

Work format
remote (only USA)
Work type
fulltime
Grade
senior
English
b2
Country
US
This vacancy is from Hirify.Global listVacancy from Hirify Global, list of international tech companies
Plus is required to make matches and apply

Match & Cover letter

Plus required for matching with this vacancy

Job description

Text:
/
TL;DR
Senior Solutions Engineer (AI): Driving strategic technical account roadmaps and integration strategies for enterprise AI opportunities with an accent on architecting solutions using vector/NoSQL databases and RAG architectures. Focus on delivering high-impact technical presentations, building real-world demos, and solving complex technical challenges for large-scale AI production systems.

Location: Must be based in the San Francisco Bay Area. This is a work-from-home role with required travel to client locations.

Company

hirify.global provides a contextual data platform that makes business data AI-ready, enabling enterprises to build reliable, governed AI systems at scale.

What you will do

  • Drive strategic technical account roadmaps and engagement strategies for large enterprise customers.
  • Architect and lead integration strategies to facilitate horizontal expansion within accounts.
  • Craft and deliver high-impact technical presentations, demonstrations, and PoCs.
  • Build functional, real-world demos incorporating core database and AI capabilities.
  • Evangelize the AI suite at industry events, webinars, and through technical whitepapers.
  • Provide critical product feedback to the engineering and product teams.

Requirements

  • Must be located in the San Francisco Bay Area.
  • 10+ years of experience in technical sales or consulting for enterprise AI, databases, or big data systems.
  • Proven expertise in Docker, Kubernetes, CI/CD pipelines, and cloud-native architectures.
  • Deep experience with vector/NoSQL databases, LLM integration, and RAG architectures.
  • Fluency in Python and SQL with experience in distributed database systems.
  • Strong understanding of the enterprise sales cycle.

Nice to have

  • Experience with Graph databases or frameworks.
  • Technical understanding of data and AI/ML tooling, workflows, and enterprise trends.

Culture & Benefits

  • Opportunity to contribute to cutting-edge AI and data infrastructure.
  • Collaboration with experienced engineers, marketers, and product leaders.
  • Commitment to a diverse and inclusive team environment.
  • Support for continuous learning and professional growth.

Be careful: if the employer asks you to log into their system using iCloud/Google, send codes/passwords, or run code/software, don't do it - these are scammers. Always click "Report" or contact support. More in guide →