Principal Architect – AI

Job not on LinkedIn

🕒 May 5

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Recruiting.com

11 - 50 employees

🎯 Recruiter

☁️ SaaS

🤝 B2B

💰 Private Equity Round on 2006-06

Recruitment • SaaS • B2B

Recruiting. com is a recruitment platform that collects personal and non-personal information from job seekers to be used by recruiters and hiring managers. Users can submit their resumes or fill out a short form to be considered for current and future job opportunities. The site emphasizes user privacy and allows users to manage their personal data, including modifying, changing, and deleting their information. Recruiting. com securely stores user data until they request deletion, providing a comprehensive recruitment solution for both job seekers and employers.

📋 Description

• Develop and own the enterprise data and AI architecture roadmap aligned with business goals • Lead the design and implementation of scalable data platforms, analytics solutions, and AI/ML infrastructure • Define standards and best practices for data governance, metadata management, and model lifecycle management • Partner with engineering, product, and business teams to ensure seamless integration of data and AI capabilities • Evaluate emerging technologies and trends in data, analytics, and AI to inform strategic decisions • Oversee architectural reviews, technical assessments, and solution design for complex data initiatives • Ensure compliance with data privacy, security, and regulatory requirements • Build and mentor a high-performing team of data and AI architects • Champion a data-driven culture by promoting the value of analytics and AI across the organization

🎯 Requirements

• Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or related field • 10+ years of experience in data architecture, analytics, and AI/ML systems • Proven leadership in designing enterprise-scale data platforms and AI solutions • Experience leading architecture teams • Deep expertise in cloud platforms (e.g., Azure, AWS, GCP) • Strong understanding of AI/ML frameworks (e.g., TensorFlow, PyTorch) • Experience with Databricks ecosystem • Experience with enterprise architecture frameworks (TOGAF, Zachman) • Familiarity with data mesh, data fabric, and modern data stack concepts • Certifications in cloud architecture or AI/ML technologies • Excellent communication and stakeholder management skills • Experience with data governance frameworks and regulatory compliance (GDPR, HIPAA, etc.)

🏖️ Benefits

• Medical, dental, and vision care • Backup dependent care • Adoption assistance • Infertility coverage • Family building support • Behavioral health solutions • Paid parental leave • Paid caregiver leave • Training programs • Professional development resources • Opportunities to participate in mentorship programs

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