Director, AI Research and Analysis

Job not on LinkedIn

November 25

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Recruiting.com

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.

11 - 50 employees

🎯 Recruiter

☁️ SaaS

🤝 B2B

💰 Private Equity Round on 2006-06

📋 Description

• Establish and lead an AI Lab function focused on research and experimentation • Identify and evaluate emerging AI technologies, methodologies, and trends • Build and manage a small, high-performing team of technologists and developers • Develop a structured process for research, experimentation, and evaluation of new technologies • Monitor industry trends by cultivating relationships with academic institutions, research organizations, innovative startups, and industry thought leaders • Represent Cencora at AI conferences, forums, and partnerships • Collaborate with stakeholders across the organization • Develop metrics and KPIs to measure the success of research initiatives • Ensure all research and experimentation is conducted in a secure manner • Advocate for the adoption of emerging technologies and methodologies within Cencora’s AI organization

🎯 Requirements

• Bachelor’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field • Advanced degree (Master’s or PhD) preferred • 10+ years of combined experience across AI research, applied machine learning, and data-driven innovation • At least 5 years leading high-impact, cross-disciplinary teams • Proven track record of leading research and innovation initiatives • Comprehensive knowledge of the entire AI spectrum including ML, generative, agentic, computer vision, and edge AI • Strong knowledge of AI/ML tooling (Python, R, ML models, Azure AI Foundry) • Working knowledge of cloud platform configuration and development (Azure, AWS, GCP) • Demonstrated expertise in modern data stacks (Vector databases, Databricks, Neo4j) • Experience with experimentation frameworks, prototyping, and agile development methodologies

🏖️ Benefits

• Health insurance • Dental care • Vision care • Paid parental leave • Paid caregiver leave • Backup dependent care • Adoption assistance • Infertility coverage • Behavioral health solutions • Professional development resources • Mentorship programs • Employee resource groups • Volunteer activities

Apply Now

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