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