Job description

AI Architect, US-Based (Remote) to build AI systems that work in production - not demos, not chatbots, not hype. We are conducting a confidential search for an experienced AI Business, Solutions and Technical Architect to join a scaled, high-growth US consumer digital business. This role is for a former senior software engineer who now designs and builds production-grade, agentic AI systems. You will not be prompting and hoping for the best. You will be architecting the harness around the model so AI can reliably execute multi-step workflows at scale. The Mission Your mandate is to turn AI into a reliable operating system for the business. Work will progress across three levels: Level 1: Automate operational processes Level 2: Automate complex but binary workflows (clear right/wrong outcomes) Level 3: Apply AI to creative, non-binary work with verification, control, and measurement Success is defined by measurable wins, not impressive demos What You Will Do Architect and build agentic AI systems using Claude Code Design the AI harness, including: State management Context management (preventing context rot) Tool orchestration Error recovery strategies Verification and validation loops Failure reflection and learning Define SOPs and system logic before building agents Apply context engineering (ACE) so AI receives only what it needs — no more, no less Convert non-binary business problems into binary, measurable questions Ensure continuous improvement, performance tracking, and cost optimization Act as the bridge between product vision and technical execution Required Background Be US-based (remote within the US) Have a strong background as a software engineer / senior developer Have hands-on production experience with Claude Code Understand that AI ≠ chat Be able to clearly define a “win” and measure it Strong experience across: LLM & reasoning model fundamentals Agentic system design and orchestration APIs, integrations, data architecture, and security Python, TypeScript / JavaScript, SQL Cloud platforms (AWS, GCP, or Azure) How You Think Build systems and SOPs before agents Prefer principles over tools Avoid over-engineering Read source material, not shiny YouTube summaries Can deliver an actionable, measurable improvement within 48 hours Red flags we screen out: Vague specifications Tool or framework zealotry Cool demos that don’t survive production Research-only or academic profiles Over-engineered solutions Compensation & Benefits Bonus: 10–20% annual performance bonus Based on company results and individual system impact Benefits include: Medical, dental, vision insurance 401(k) with employer contribution Generous PTO and holidays Fully remote (US-based) Home office / equipment allowance Base Salary: $160,000 – $220,000 USD What Success Looks Like (6–12 Months) Multiple AI systems running in production High multi-step success rates across workflows Measurable operational or revenue impact AI treated as infrastructure, not experimentation

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Dental

Vision

401(K)

Pto