Senior Solutions Architect (AI)
Мэтч & Сопровод
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Описание вакансии
TL;DR
Senior Solutions Architect (AI): Lead customer professional services engagements to decouple deploy from release and help integrate into AI-powered applications with an accent on safe AI rollouts, experimentation, and governance. Focus on designing and building feature management and rollout patterns (guardrails, kill switches, inference-time decision points) directly in customer codebases while resolving technical obstacles across distributed AI systems.
Location: Remote (US)
Salary: $145,000–$235,400 (US pay zones; exact compensation varies by skills, experience, and location)
Company
provides a platform for safer, faster software delivery using feature management and progressive rollout.
What you will do
- Lead complex professional services engagements for AI-enabled and traditional software delivery, aligning customer goals with best practices.
- Design and build feature management for LLM-powered applications, agentic workflows, and internal AI platforms.
- Design and help implement safe AI rollout patterns (progressive exposure, guardrails, kill switches, and prompt/model experimentation) in customer codebases.
- Build reference implementations, integrations, and prototypes by writing production-quality code with customer engineers.
- Instrument AI systems at inference-time and workflow-level decision points using .
- Advise engineering, platform, DevOps, and AI leaders; identify and resolve technical obstacles to value realization.
Requirements
- 4+ years in enterprise software, platform engineering, or solutions architecture with a hands-on, consultative approach.
- Ability to write production-quality code and independently build and ship working integrations/prototypes (Python, Java, JavaScript/Node.js, Go, or similar).
- Hands-on experience with AI-assisted development tools (e.g., Claude Code, Cursor).
- Understanding of Model Context Protocol (MCP) or similar tool-augmented/agent-based approaches (or strong interest in learning).
- Ability to guide customers on DevOps, CI/CD, and modern release practices, including experimentation and progressive delivery.
- Location: Must be based in the United States (remote US); open to 20% travel.
Culture & Benefits
- Restricted stock units (RSUs) in addition to salary.
- Health, vision, and dental insurance, plus mental health benefits.
- High-trust, transparent pay ranges aligned to geographic zones within the US.
- Opportunity to work on mission-critical AI delivery and experimentation practices.
Hiring process
- Formal interview process (no job offers without it).
- Interviews do not involve asking detailed questions by email.
- Recruiters contact candidates only from verified channels.
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