Talent Acquisition Specialist (AI Hiring)

HCL Technologies Limited; Dadri; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

HCL Technologies Limited is seeking a Talent Acquisition Specialist with a strong focus on IT Product, AI hiring, and market-aware recruitment. You will act as a Talent Advisor to business and HR leaders, influencing decisions with insights from talent intelligence and market benchmarks.

Responsibilities include end-to-end ownership, strategic sourcing for AI/data talent, engaging senior engineers, managing offers, and ensuring a high offer-to-join conversion while maintaining a superior

Qualifications

• Mandatory AI/Data & AI hiring experience across senior roles.
• End-to-end recruitment ownership from JD intake to joining.
• Ability to influence Hiring Managers with market insights.

Responsibilities

• Own end-to-end recruitment for niche and senior-level roles.
• Drive hiring speed, quality and candidate experience.
• Spearhead quality-driven talent sourcing across AI/Data roles.
• Provide market insights to influence JD refinements and leaders.
• Engage senior technical talent and partners across HR business.
• Lead offer discussions and negotiate to secure approvals.

Skills

AI hiring

End-to-end recruitment

Talent advisory

Market intelligence

Offer negotiations

ATS proficiency

Stakeholder management

Candidate engagement

Sourcing strategy

LinkedIn Recruiter

Tools

LinkedIn Recruiter

GitHub

Stack Overflow

LLM-based search tools

Job description

We are searching for a high-impact Talent Acquisition Specialist with a strong IT Product / AI hiring mindset. This role goes beyond traditional sourcing and execution. We are seeking a Talent Advisor who can influence hiring decisions using market insights, engage senior AI and engineering talent, and act as a trusted partner to business and HR leadership.

Key Responsibilities

1. End-to-End Recruitment Ownership

• Manage full-cycle recruitment for niche and senior-level roles.
• Drive hiring from JD intake to joining, ensuring speed, quality, and an excellent candidate experience.

2. Quality-Driven Talent Sourcing

• Consistently identify and engage top-quality talent across Data & AI, AI Architecture, AI Research, AI Engineering, Product Management, Machine Learning, Ecosystem Partnerships, and cloud-native AI talent with expertise in leading cloud AI platforms, Generative AI, LLMs, data platforms, and modern MLOps ecosystems.
• Use mainstream sourcing channels effectively: LinkedIn Recruiter, job portals, networking, and employee referrals.
• Demonstrate hands-on experience and curiosity to explore non-traditional sourcing channels, including GitHub, Stack Overflow, and LLM / AI-based candidate search tools.
• Continuously experiment with new sourcing approaches to improve talent quality and pipeline health.

3. Talent Market Insights & Advisory

• Conduct in-depth talent intelligence research on skill availability, talent geography, compensation benchmarks, and competitor hiring patterns.
• Use insights to influence Hiring Managers and Leaders and recommend JD refinements based on market realities.
• Develop a strong understanding of emerging AI and cloud technology trends, particularly within the enterprise AI ecosystem, including Generative AI, LLMs, MLOps, data platforms, and cloud AI services, to assess talent availability and advise hiring leaders.
• Build credibility as a Talent Advisor, not just an execution partner.

4. Senior Talent Engagement & Influence

• Confidently engage with senior and niche technical talent.
• Effectively pitch HCLTech's AI vision, growth opportunities, cloud and GenAI initiatives, and business impact, including strategic programs leveraging AI technologies and modern data platforms.
• Build long-term relationships with passive candidates.

5. Offer Management & Negotiation

• Lead offer discussions and negotiations with candidates.
• Partner with HR and Hiring Leaders to justify salary proposals using market data, benchmarks, and candidate value, and secure timely approvals without compromising talent quality.
• Ensure win-win outcomes for both HCLTech and candidates.

6. Candidate Engagement & Joiner Conversion

• Own the post-offer engagement strategy, including structured candidate engagement plans and strong alignment and engagement throughout the notice period.
• Proactively ensure Hiring Leaders connect with offered candidates.
• Deliver a 95%+ offer-to-join conversion ratio.

7. ATS & Compliance Excellence

• Work extensively with the Applicant Tracking System (ATS).
• Ensure 100% recruitment process compliance through the ATS.

Required Skills & Experience

• 4 to 9 years of IT full-cycle recruitment experience.
• Strong communication, stakeholder management, and influencing skills.
• Mandatory experience in AI / Data & AI hiring, with exposure to hiring talent across AI, Data Engineering, Machine Learning, MLOps, Generative AI, and Cloud Architecture roles.
• Ability to operate as a trusted Talent Advisor to Hiring Managers and Leaders.

Preferred Technical Awareness

• Familiarity with leading AI and cloud technology stacks, including major cloud AI platforms, Generative AI and LLM frameworks, data engineering platforms, MLOps tools, and container technologies such as Kubernetes, enabling deeper talent conversations and market intelligence discussions.