Principal Architect – AI

This is a fully remote position, open to applicants in Pennsylvania.

📋 Description

• Create and maintain the enterprise data and AI architecture roadmap that aligns with business objectives.

• Spearhead the design and execution of scalable data platforms, analytics solutions, and AI/ML infrastructure.

• Establish standards and best practices for data governance, metadata management, and the model lifecycle.

• Collaborate with engineering, product, and business teams to ensure the smooth integration of data and AI capabilities.

• Assess emerging technologies and trends in data, analytics, and AI to guide strategic decision-making.

• Supervise architectural reviews, technical evaluations, and solution design for intricate data initiatives.

• Guarantee adherence to data privacy, security, and regulatory standards.

• Develop and guide a high-performing team of data and AI architects.

• Advocate for a data-driven culture by highlighting the importance of analytics and AI throughout the organization.

⛳️ Requirements

• Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related discipline.

• Over 10 years of experience in data architecture, analytics, and AI/ML systems.

• Demonstrated leadership in designing enterprise-scale data platforms and AI solutions.

• Experience in leading architecture teams.

• In-depth knowledge of cloud platforms (e.g., Azure, AWS, GCP).

• Strong comprehension of AI/ML frameworks (e.g., TensorFlow, PyTorch).

• Familiarity with the Databricks ecosystem.

• Knowledge of enterprise architecture frameworks (TOGAF, Zachman).

• Understanding of data mesh, data fabric, and modern data stack concepts.

• Relevant certifications in cloud architecture or AI/ML technologies.

• Exceptional communication and stakeholder management abilities.

• 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 engage in mentorship programs.