AI Architect Claude Code Senior Developer

AI Architect

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 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