What are the responsibilities and job description for the AI-First Paid Search Specialist (Search Architect) position at KHR?
AI-First Paid Search Specialist (Search Architect)
Location: Remote / Hybrid
Efficiency Mandate: 4x Production & Optimization Velocity
Role Overview
We are looking for a "Paid Search Architect" to join our agency and lead the transition from manual campaign management to autonomous agentic orchestration. The ideal candidate does not just "run ads"; they build and oversee intelligent systems that automate research, creative production, and real-time optimization. Your goal is to collapse traditional marketing timelines, achieving 400% greater efficiency than manual workflows by leveraging Level 5 autonomous tools and advanced prompt engineering.
Key Responsibilities
- Autonomous Orchestration: Deploy and manage Level 5 autonomous agents (e.g., groas) to handle 24/7 bidding, budgeting, and negative keyword management without manual intervention.
- High-Volume Creative Production: Use generative AI platforms (e.g., Segwise, AdCreative.ai) to generate, score, and launch 10-20 performance-backed ad variations per campaign in minutes rather than hours.
- Conversational Ad Management: Utilize Model Context Protocol (MCP) servers and conversational interfaces (e.g., Adspirer, Ryze AI) to manage Google, Meta, and TikTok accounts through natural language commands.
- Generative Engine Optimization (GEO): Track brand "Citation Share" and visibility within AI-powered search engines like ChatGPT and Perplexity to capture high-converting referral traffic.
- Agentic Workflows: Design multi-step AI workflows that automatically detect performance anomalies, diagnose root causes, and queue remediation plans for approval.
Required Skills & Technical Competencies
- Advanced Prompt Engineering: Mastery of role-aware, few-shot, and chain-of-thought prompting to drive high-quality LLM outputs for strategy and copy.
- Python & API Automation: Ability to write scripts to interface with the OpenAI Chat Completions API and major ad platform APIs to automate repetitive data tasks.
- Creative Intelligence: Experience using multimodal AI to tag and analyze winning creative elements to prevent "creative fatigue" before performance drops.
- Strategic Attribution: Proficiency in server-side tracking and first-party data normalization to ensure AI agents are fed high-signal data.
Target Efficiency Benchmarks
Process
Manual Baseline
AI-Augmented Target
Campaign Setup
8-12 Hours
< 30 Minutes [3, 4]
Ad Copy Creation
4-6 Hours
< 15 Minutes [3, 1]
Performance Audits
10-15 Hours
Real-Time (Autonomous) [2, 12]
Creative Refreshes
2-4 Weeks
2-3 Days [3, 5]
Preferred Qualifications
- Certifications: Google AI Professional Certificate, Vanderbilt University "Agentic AI for Leaders," or DMI "AI in Digital Marketing".[20, 21, 22]
- Experience: 3 years in Paid Search with a proven track record of using AI to reduce production time by at least 60%.[1, 15]
- Mindset: A "Strategic Architect" who views AI as a force multiplier for human creativity and high-stakes decision-making.[23, 24]
Pay: $80,000.00 - $110,000.00 per year
Benefits:
- 401(k) matching
- Dental insurance
- Health savings account
- Life insurance
- Paid time off
- Retirement plan
Experience:
- Python & API Automation : 5 years (Preferred)
- multimodal AL: 5 years (Preferred)
- deploy & manage Level 5 autonomous agents: 5 years (Preferred)
- Generative Engine Optimization (GEO): 5 years (Preferred)
Work Location: Hybrid remote in Minneapolis, MN 55447
Salary : $80,000 - $110,000