Full-Time Sr. AI Data Engineer

As a Senior AI Data Engineer, you will be part of a global team delivering sophisticated AI and data systems. You’ll help pioneer our next generation data and AI pipelines and collaborate with different teams to integrate AI and data science across a broad suite of products.

Responsibilities:

• AI Data Infrastructure & Pipeline Management: Design, build, and operate scalable real-time data pipelines for AI model training.
• Data Collection: Execute initiatives for collecting, normalizing, and storing data across multiple sources.
• Collaboration: Partner with AI R&D, Applied AI, and Data Platform teams to ensure seamless data flow and quality standards.
• AI R&D Support: Provide support to AI Research & Development efforts by applying advanced data warehousing and engineering technologies.
• Communication: Maintain clear communication channels across teams, ensuring alignment with company vision.
• Technology Evolution: Stay current with emerging tools and methodologies in AI data engineering.

Required Qualifications:

• 4+ years of experience in data engineering, focused on AI/ML data infrastructure.
• Proficiency in Python, SQL, and Infrastructure as Code (Terraform, CloudFormation).
• Experience with cloud-native data platforms (AWS, Azure, GCP) and vector databases.
• Experience with MLOps tools and platforms, experiment tracking, and model deployment pipelines.
• Experience with Large Language Models (LLMs), embedding generation, and RAG systems.
• Strong problem-solving, analytical, and communication skills.

Desired Qualifications:

• 6+ years of experience in data engineering with a focus on AI and machine learning projects.
• Experience in a technical leadership or mentorship role.
• Experience in education, EdTech, or academic integrity sectors.
• Experience using AI coding tools (Cursor, Claude Code, GitHub Copilot) for accelerated development.
• Familiarity with natural language processing, computer vision, or multimodal AI applications.
• Experience with data visualization (Streamlit) and data reporting.

Characteristics for Success:

• A passion for creatively solving complex data problems.
• The ability to work collaboratively and cross-functionally.
• A continuous learning mindset.
• A proven track record of delivering results.
• Strong written and verbal communication skills.

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