Note: The job is a remote job and is open to candidates in USA. Chainlink Labs is the industry-standard oracle platform powering decentralized finance (DeFi). They are seeking an exceptional AI Solutions Engineer to architect automation and lead the deployment of AI tools across their People Technology and Analytics team, simplifying their people tech stack and embedding AI-powered workflows throughout the organization.

Responsibilities

• Drive the rollout, adoption, and operationalization of built from scratch AI tools across the People function
• Build and deploy AI-powered workflows and agents that automate recruiting operations, onboarding, reporting, performance cycles, and other key processes
• Create self-service tools and intelligent assistants that improve stakeholder experience and reduce manual intervention for the People team
• Establish best practices for scalable and responsible AI usage, including governance, prompt standards, quality control, and change management
• Partner with People leaders to identify high-impact automation opportunities and streamline inefficient or manual workflows
• Own the automation roadmap and deliver solutions using APIs, iPaaS platforms, native tooling, and lightweight scripting
• Collaborate cross-functionally with IT, Security, Data Engineering, and vendors to deliver secure, scalable, and future-ready People Technology solutions
• Lead the technical delivery of new system implementations, migrations, and decommissioning initiatives as we simplify and modernize our stack

Skills

• 10+ years of experience in Enterprise Applications, with recent AI-focused roles that hold increasing ownership and complexity
• Demonstrated ability to architect and build AI-powered tools from the ground up, with working knowledge of Google Cloud infrastructure — leveraging services like BigQuery, Vertex AI, and Cloud Functions to move from prototype to production with speed and reliability
• Experience writing or reviewing scripts in Python or JavaScript to support integrations, automation, or operational tooling
• Ideally familiarity with modern People Technology ecosystems, including ATS, HCM, performance, compensation, and workforce analytics platforms
• Strong communication skills with the ability to translate complex technical concepts into clear, accessible language for non-technical stakeholders
• High ownership mindset with the ability to operate effectively in fast-moving, ambiguous environments while balancing strategic thinking with execution speed

Company Overview