{"id":4153234,"url":"https://alion.io/job/hcltech-technical-full-lifecycle-recruiter","title":"Technical Full Lifecycle Recruiter","company":{"id":225,"name":"HCLTech","domain":"hcltech.com","url":"https://alion.io/company/hcltech","size_band":"5000+","is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":"SuccessFactors","truth_index":null},"role":"HR","role_family":"HR","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Santa Clara, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"GCP","optional":false},{"name":"LinkedIn","optional":false},{"name":"Machine Learning","optional":false},{"name":"Platform Engineering","optional":false}],"status":"live","first_seen_at":"2026-11-12T09:56:36Z","employer_posted_date":"2026-11-12","last_verified_at":"2026-11-12T09:56:36Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"Job Summary\nWe 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.\nThe 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.\nKey Responsibilities\nStrategic Talent Acquisition\nLead end-to-end recruitment for AI and CTO organization hiring needs across the United States.\nManage full recruitment lifecycle including sourcing, screening, interviewing, offer management, and onboarding support.\nBuild proactive pipelines for critical and hard-to-fill AI positions.\nDrive hiring plans aligned with business growth and talent demand forecasts.\nAI Talent Market Intelligence\nConduct market research on AI talent trends, compensation benchmarks, competitor hiring activities, and talent availability.\nDevelop talent maps of target companies, AI startups, consulting firms, hyperscalers, and product organizations.\nProvide hiring leaders with actionable market intelligence and supply-demand insights.\nStakeholder Partnership\nPartner with CTO leadership, hiring managers, practice heads, and business stakeholders to understand hiring priorities and workforce requirements.\nAct as a trusted talent advisor throughout the hiring process.\nInfluence hiring decisions through data-driven recommendations and market insights.\nSourcing & Candidate Engagement\nUtilize advanced sourcing techniques, including LinkedIn Recruiter, talent mapping, referrals, networking, and research-based sourcing.\nIdentify and engage passive candidates with expertise in AI, GenAI, LLMs, Agentic AI, Cloud AI, Data Engineering, and related domains.\nBuild strong candidate relationships and maintain an exceptional candidate experience.\nRecruitment Operations\nEnsure hiring process compliance, documentation, and adherence to organizational policies.\nMonitor recruitment metrics including pipeline health, time-to-fill, offer acceptance, and source effectiveness.\nDrive process improvements to enhance recruitment efficiency and quality of hire.\nEmployer Branding\nRepresent the company in industry events, university partnerships, professional communities, and technology forums.\nPromote the organization's AI vision, innovation culture, and career opportunities.\nSkill Requirements\nRecruitment Expertise\n5-10 years of technology recruiting experience with at least 3+ years focused on AI, Data, Cloud, or emerging technology hiring.\nProven success hiring for niche and senior technology positions.\nExperience managing multiple complex requisitions simultaneously.\nAI & Technology Knowledge\nStrong understanding of:\nArtificial Intelligence (AI)\nGenerative AI\nLarge Language Models (LLMs)\nAgentic AI\nMachine Learning\nData Science\nMLOps\nAI Engineering\nAI Platform Engineering\nCloud Technologies (AWS, Azure, GCP)\nSoftware Engineering fundamentals\nAI Product and Solution Architecture\nTalent Intelligence\nTalent mapping and competitor intelligence.\nWorkforce planning support.\nMarket research and compensation benchmarking.\nCandidate assessment and qualification techniques.\nStakeholder Management\nAbility to work effectively with senior leaders and executives.\nStrong consulting and influencing skills.\nExcellent verbal and written communication skills.\nRecruiting Tools\nExperience with:\nLinkedIn Recruiter\nATS platforms (Workday, SuccessFactors, Taleo, etc.)\nCRM tools\nTalent intelligence platforms\nAdvanced Boolean and internet sourcing techniques\nOther Requirements\nEducation\nBachelor's degree in Human Resources, Business, Engineering, Computer Science, or related field.\nMaster's degree preferred but not mandatory.\nPreferred Qualifications\nExperience recruiting for AI/GenAI consulting, product, cloud, or startup environments.\nExposure to executive and leadership hiring.\nExperience hiring across multiple U.S. locations.\nKnowledge of U.S. employment regulations and work authorization processes.\nAbility to travel occasionally (up to 10-15%) for hiring events, leadership meetings, and candidate engagement activities.\nSuccess Metrics\nQuality of Hire\nTime-to-Fill\nOffer Acceptance Rate\nHiring Manager Satisfaction\nDiversity Hiring Outcomes\nCandidate Experience Scores\nPipeline Readiness for Critical AI Roles","description_format":"text","description_chars":4743,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":true},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["IT Consulting & Digital Transformation","Managed IT Services (MSP)","Systems Integrators","Engineering Services"],"lifecycle":[{"event":"open","at":"2026-11-12T09:56:36Z"}],"visa":[],"liveness":{"score":86,"band":"hot","label":"Hiring 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