Vlad Garau
@vladgarau
Principal Solutions Architect building enterprise AI automation with LLMs, multi-agent systems, and revenue-driving pre-sales.
What I'm looking for
I’m a Solutions Architect and Sales Engineer with 5+ years of experience in enterprise SaaS, AI automation, and technical pre-sales and post-sales. I combine deep technical expertise in LLMs, multi-agent systems, and workflow orchestration with consultative selling and solution design.
In past roles, I grew ARR from $70K to $1.4M in 1.5 years and delivered 60+ enterprise client engagements. I also supported the close of seven-figure enterprise deals, maintaining a 60–70% proof-of-concept win rate while helping educate the market on a new AI automation product category.
I build hundreds of production-grade AI agents and integrations across enterprise platforms, bridging business goals with technical execution. I lead end-to-end solution strategy—from discovery to deployment and optimization—designing multi-agent AI systems that integrate securely into real workflows.
I thrive at the intersection of technical architecture and commercial outcomes, partnering with Sales, Product, and Engineering to translate requirements into scalable, maintainable architectures. I mentor a team of 4 solutions professionals and contribute to internal architecture standards to raise the bar on scalable AI solutions.
Experience
Work history, roles, and key accomplishments
Principal Solutions Architect
EverWorker
Apr 2026 - Present (0 months)
Lead end-to-end design and delivery of complex AI-driven automation solutions for enterprise clients, including discovery through deployment and optimization. Mentor a team of 4 solutions professionals while defining best practices for scalable AI architectures.
Solutions Architect
EverWorker
Mar 2025 - Apr 2026 (1 year 1 month)
Architected and deployed custom AI workflows and intelligent agents tailored to enterprise processes, averaging 10+ client engagements per quarter. Translated customer requirements into scalable LLM-based solutions across NetSuite, HubSpot, Salesforce, and Jira/Confluence ecosystems.
Sales Engineer
EverWorker
Nov 2024 - Jun 2025 (7 months)
Delivered product demos and built custom multi-agent AI applications for enterprise prospects, achieving a 60–70% POC-to-close conversion rate. Developed production-ready AI agents and provided end-to-end technical guidance from discovery through deal closure and onboarding.
Solutions Engineer
Supernova.io
Aug 2022 - Oct 2024 (2 years 2 months)
Grew annual recurring revenue from $70K to $1.4M in 1.5 years across enterprise and strategic accounts. Managed 25 enterprise customers through pre- and post-sales, including AWS SSO implementation and training/mentoring 5 sales professionals.
Technical Solutions Engineer
Dixa Aps
Aug 2020 - Jul 2022 (1 year 11 months)
Resolved L2 and L3 technical requests across APIs, integrations, code/scripts, and webhooks for 200+ customers. Provided tailored solutions to enterprise tier 1 clients (e.g., TooGoodToGo, Epic Games, Miinto) and led incident escalations while delivering pre-sales technical support.
Education
Degrees, certifications, and relevant coursework
KEA University of Copenhagen
Computer Science
2020 - 2022
Studied Computer Science at KEA University of Copenhagen, covering Java, Spring Boot, Angular, systems analysis, needs analysis, database design, quality assurance, and networks.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
Skills
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