Technical Full Lifecycle Recruiter

Job Summary

We are seeking an experienced and highly driven Lead Recruiter to support strategic hiring across the AI business teams. This role will focus on attracting, engaging, and hiring top-tier talent in Artificial Intelligence, Generative AI, Agentic AI, Data Science, Machine Learning, AI Engineering, AI Platform Engineering, AI Architecture, and emerging technologies.

The ideal candidate will possess strong expertise in niche technology recruiting, talent mapping, market intelligence, stakeholder management, and full-cycle recruitment. The individual will partner closely with business leaders, hiring managers, CTO teams, and workforce planning partners to build high-quality talent pipelines and deliver exceptional hiring outcomes in a highly competitive AI talent market.

Key Responsibilities

Strategic Talent Acquisition

• Lead end-to-end recruitment for AI and CTO organization hiring needs across the United States.
• Manage full recruitment lifecycle including sourcing, screening, interviewing, offer management, and onboarding support.
• Build proactive pipelines for critical and hard-to-fill AI positions.
• Drive hiring plans aligned with business growth and talent demand forecasts.

AI Talent Market Intelligence

• Conduct market research on AI talent trends, compensation benchmarks, competitor hiring activities, and talent availability.
• Develop talent maps of target companies, AI startups, consulting firms, hyperscalers, and product organizations.
• Provide hiring leaders with actionable market intelligence and supply-demand insights.

Stakeholder Partnership

• Partner with CTO leadership, hiring managers, practice heads, and business stakeholders to understand hiring priorities and workforce requirements.
• Act as a trusted talent advisor throughout the hiring process.
• Influence hiring decisions through data-driven recommendations and market insights.

Sourcing & Candidate Engagement

• Utilize advanced sourcing techniques, including LinkedIn Recruiter, talent mapping, referrals, networking, and research-based sourcing.
• Identify and engage passive candidates with expertise in AI, GenAI, LLMs, Agentic AI, Cloud AI, Data Engineering, and related domains.
• Build strong candidate relationships and maintain an exceptional candidate experience.

Recruitment Operations

• Ensure hiring process compliance, documentation, and adherence to organizational policies.
• Monitor recruitment metrics including pipeline health, time-to-fill, offer acceptance, and source effectiveness.
• Drive process improvements to enhance recruitment efficiency and quality of hire.

Employer Branding

• Represent the company in industry events, university partnerships, professional communities, and technology forums.
• Promote the organization's AI vision, innovation culture, and career opportunities.

Skill Requirements

Recruitment Expertise

• 5-10 years of technology recruiting experience with at least 3+ years focused on AI, Data, Cloud, or emerging technology hiring.
• Proven success hiring for niche and senior technology positions.
• Experience managing multiple complex requisitions simultaneously.

AI & Technology Knowledge

Strong understanding of:

• Artificial Intelligence (AI)
• Generative AI
• Large Language Models (LLMs)
• Agentic AI
• Machine Learning
• Data Science
• MLOps
• AI Engineering
• AI Platform Engineering
• Cloud Technologies (AWS, Azure, GCP)
• Software Engineering fundamentals
• AI Product and Solution Architecture

Talent Intelligence

• Talent mapping and competitor intelligence.
• Workforce planning support.
• Market research and compensation benchmarking.
• Candidate assessment and qualification techniques.

Stakeholder Management

• Ability to work effectively with senior leaders and executives.
• Strong consulting and influencing skills.
• Excellent verbal and written communication skills.

Recruiting Tools

Experience with:

• LinkedIn Recruiter
• ATS platforms (Workday, SuccessFactors, Taleo, etc.)
• CRM tools
• Talent intelligence platforms
• Advanced Boolean and internet sourcing techniques

Other Requirements

Education

• Bachelor's degree in Human Resources, Business, Engineering, Computer Science, or related field.
• Master's degree preferred but not mandatory.

Preferred Qualifications

• Experience recruiting for AI/GenAI consulting, product, cloud, or startup environments.
• Exposure to executive and leadership hiring.
• Experience hiring across multiple U.S. locations.
• Knowledge of U.S. employment regulations and work authorization processes.
• Ability to travel occasionally (up to 10-15%) for hiring events, leadership meetings, and candidate engagement activities.

Success Metrics

• Quality of Hire
• Time-to-Fill
• Offer Acceptance Rate
• Hiring Manager Satisfaction
• Diversity Hiring Outcomes
• Candidate Experience Scores
• Pipeline Readiness for Critical AI Roles