Solutions Architect - AI Agents Deployment

Lavendo

• $125K — $150K *
San Francisco, CA 94112In-Person
Enterprise Technology
Less than 5 years of experience
3 weeks ago
Job Overview by Ladders

Qualifications

  • Bachelor's degree in Computer Science
  • Hands-on experience with Python or JavaScript and AI technologies
  • Experience with API integration (REST, webhooks, OAuth)
  • Demonstrated customer-facing experience in consulting or project management
  • Strong systems integration skills across tech stacks
  • Business process analysis understanding
  • Bonus: experience with CRM/PMS systems or in the AI industry

Responsibilities

  • Understand partner and customer needs, translating them into technical specifications
  • Configure and customize AI agent solutions for seamless platform integration
  • Own end-to-end implementations from kickoff to go-live
  • Serve as the technical point of contact during partner conversations
  • Identify and mitigate technical risks during the implementation lifecycle
  • Contribute to scalable deployment practices as the team grows

Benefits

  • Comprehensive health, dental, and vision insurance
  • Unlimited Paid Time Off
  • Fully remote work with any US location welcome
  • Impact by shaping a product used by 10,000+ businesses
  • Participate in a growing company with recent funding and stability
  • Work with cutting-edge technology like Groq, Llama, and OpenAI
Full Job Description
What You'll Do
  • Understand partner and customer business needs and translate them into technical specifications and deployment plans
  • Configure and customize AI agent solutions, ensuring seamless integration with existing platforms (CRMs, booking tools, payment systems)
  • Own implementations end-to-end - from kickoff through go-live - managing stakeholders and driving projects to completion
  • Serve as the technical point of contact in partner conversations; present solutions confidently with minimal oversight
  • Identify and mitigate technical risks throughout the implementation lifecycle
  • Contribute to building scalable deployment practices as the team grows
What You Bring
  • Bachelor's degree in Computer Science
  • Hands-on experience developing in Python or JavaScript, with fluency in AI technologies including prompt engineering
  • Experience integrating APIs (REST, webhooks, OAuth)
  • Demonstrated customer-facing experience (consulting, project management, client delivery, or entrepreneurial)
  • Strong systems integration skills and ability to work across diverse tech stacks
  • Business process analysis skills - you understand how companies make money and can connect technical solutions to business outcomes
  • Bonus: experience with CRM/PMS systems, SaaS platforms, or the AI industry

Ideal backgrounds include:
  • Tier 1 CS program + top consulting firm with technical implementation work
  • Tier 1 tech company with a customer-facing component
  • Software engineering + entrepreneurial experience in a customer-facing business
Key Success Drivers
  • Technical curiosity: You pick up new skills fast, can own complex implementations independently, and stay current on AI
  • Customer ownership: You manage expectations, drive delivery, and don't let problems sit - you hold on until it's solved
  • Business intuition: You can break a business problem into technical pieces and tie the work back to real outcomes
  • Ownership mentality: You make things happen without being told twice and pull in the right people when needed
Why Join?
  • Compensation: $125,000-$150,000 base salary (W-2) + 20% annual bonus + equity
  • Benefits: Comprehensive health, dental, and vision insurance plans
  • PTO: Unlimited Paid Time Off
  • Remote: Fully distributed team, any US location welcome
  • Impact: 10,000+ businesses on the platform - your work directly shapes a product at scale
  • Momentum: $32M raised, revenue doubling, Series A just closed - early enough for real equity upside, funded enough for stability
  • Stack: Groq, Llama, Gemini, OpenAI, and proprietary Zero-Hallucination architecture - production AI on real calls, at scale
Interviewing Process
  • HR Screen
  • Case Study (business case assessment)
  • Technical Interview (coding ability, AI/prompt engineering, learning agility)
  • Final Deep Dive with VP of Product (ownership, customer focus, and leadership)
  • Reference Checks & Offer

* Ladders Estimates

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