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