Drimva

Meta

Solutions Architect, Business Agents

$130K–$185K

Seattle, WA +2 · Full-time · Posted Mar 6, 2026

Location
Seattle, WA
New York, NY
San Francisco, CA
Experience
4+ years with software systems; 5+ years combined in specified engineering, architecture, consulting, or partner/sales engineering roles.
Education
Bachelor's degree in Computer Science, Computer Engineering, or a relevant technical field, or equivalent practical experience; currently pursuing a degree also accepted.

About the job

Build and deliver customer-embedded, AI-powered solutions and products that address business challenges and support business growth.

What you'll do

  • Develop AI products and prototypes with Meta product engineering and cross-functional teams.
  • Work with business partners and sales teams to define strategies and translate customer needs into scalable solutions.
  • Present technical and business insights to executives and industry audiences; coordinate project work across teams.

What they ask for

  • Bachelor's degree in Computer Science, Computer Engineering, a relevant technical field, or equivalent practical experience (or currently pursuing one).
  • 4+ years of experience with software systems, including querying, SQL scripting, and API development.
  • 5+ years of combined experience as an Engineer, Solutions Architect, Technical Consultant, or Partner/Sales Engineer.
  • Experience with scalable software platforms and products, web, mobile, or enterprise technology, client communications, and LLMs, agentic AI, and/or related AI/ML technologies.

Nice to have

  • Experience working in a startup or similar early-stage company.
  • Experience with enterprise customers and B2B GTM motion, agile methodologies, global teams, and responsible AI practices.

Pay

$130,000/year to $185,000/year (base salary)

Tools

SQL, API, LLMs, agentic AI

AI focus

Build AI products and prototypes; apply LLMs, agentic AI, and related AI/ML technologies to business challenges; integrate AI tools into workflows and apply responsible AI practices.

Model-written summary · the original posting is authoritative

First seen Oct 15, 2026 · Last verified Nov 5, 2026 (UTC)