2 months ago
Senior Solutions Engineer (AI)
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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
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.
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