Senior AI Engineer, Unstructured AI

Senior AI Engineer

This is a hybrid role based in our New York office. Our hybrid model means you'll work from the office at least two days each week. This setup helps us stay connected, work more closely together, and keep making progress as a team.

About the role

Work at the forefront of context engineering - shaping how AI systems retrieve, structure, and leverage context to deliver accurate, high-quality results at scale.

Responsibilities

• Shipping complex systems under ambiguity - balancing speed and precision in real environments.
• Writing and reviewing production-grade code across backend (Python, FastAPI).
• Building/deploying document-processing systems that handle large-scale, unstructured data environments.
• Integrating data from diverse enterprise data sources (e.g., SharePoint, Salesforce, or internal APIs) to provide context for AI features.
• Pricing: The standard base salary range for this position is $204,000 - 255,000 per year. This position is not eligible for additional commission-based compensation. Salary offers are based on a combination of factors, including, but not limited to, experience, skills, and location.
• Partnering across engineering, product, and sales teams, ensuring alignment from prototype to rollout.
• Occasionally working with modern frontend development.

Requirements

• Strong proficiency in Python (data processing, API development, and integrations).
• Hands-on work with LLM-based and AI-driven enrichment models (e.g., classification, entity extraction, deduplication, PII detection).
• Proven ability to deliver production-grade systems using Big Data frameworks (e.g., Spark) to handle data at scale.
• Solid understanding of data pipelines, microservice architecture, and API design.
• Experience ingesting and processing data from third-party enterprise sources (e.g., SharePoint/OneDrive, Salesforce, and SaaS-based knowledge bases).
• Strong communication skills across technical and business teams.
• Calm, structured decision-making under tight timelines or ambiguity.
• Familiarity with metadata systems, data cataloging, or document AI workflows.
• Knowledge of model evaluation best practices.
• Experience with search relevance.

Qualifications

• A bachelor's degree or equivalent related working experience is required.
• Demonstrated proficiency in leveraging AI tools (e.g., Claude, Gemini, ChatGPT, Copilot) to solve real-world business challenges, drive measurable outcomes, or streamline workflows.

Skills

• Calm, structured decision-making under tight timelines or ambiguity.
• Capable of communicating clearly across engineering, product, and field teams, ensuring alignment from prototype to rollout.
• Experienced in spotting risks early, course-correcting without friction, and model composure when delivery timelines are tight.
• Someone who cares deeply about data quality, precision, and governance.
• Strong communication and stakeholder-management skills across technical and business teams.

Benefits

Benefits at Collibra include a competitive total rewards package, including bonus potential, equity for eligible roles, a Flex Fund monthly stipend, pension/401k plans, and more. Collibra also offers a diverse range of flexible offerings to support employees through various life events and circumstances.

Pay

The standard base salary range for this position is $204,000 - 255,000 per year. This position is not eligible for additional commission-based compensation. Salary offers are based on a combination of factors, including, but not limited to, experience, skills, and location.

Schedule

This role is a hybrid position, requiring at least two days of in-office work per week.