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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. Own end-to-end technical delivery of Unstructured AI systems, from feature prototype to stable production across enterprise environments. Build and scale full-stack systems that ingest, process, and enrich large volumes of unstructured content from distributed enterprise silos.
Responsibilities
- Shipping complex systems under real ambiguity, often defining the scope and acceptance criteria yourself.
- Writing and reviewing production-grade backend code (Python, FastAPI), writing the services you design.
- 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.
- 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).
- Production experience with Spark or comparable big data frameworks.
- Experience shipping tested, reviewed production services rather than notebooks.
- A track record of starting things: a specific example where you took a vaguely-scoped problem, defined the MVP yourself, wrote down your assumptions, and shipped it.
- 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).
- Familiarity with metadata systems, data cataloging, or document AI workflows.
- Knowledge of model evaluation best practices.
- Experience with search relevance.
- A bachelor’s degree or equivalent related working experience is required.
- Agentic engineering in practice, not just tool usage: you can say where an agent loop earns its keep, what guardrails and structured outputs keep it in bounds, and how you manage its context.
- 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 and course-correcting without friction 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.
Skills
- Python
- FastAPI
- LLM-based and AI-driven enrichment models
- Spark
- Data pipelines
- Microservice architecture
- API design
- Metadata systems
- Data cataloging
- Document AI workflows
- Model evaluation
- Search relevance
- Agentic engineering
Location
- New York
Work Type
- Hybrid
Experience Level
- Senior
Education Level
- Bachelor's degree or equivalent related working experience
Salary/Compensations
- $204,000 - $255,000 per year
Benefits
- Bonus potential
- Equity for eligible roles
- Flex Fund monthly stipend
- Pension/401k plans
- Competitive compensation
- Health coverage
- Time off
About the Company
- Collibra’s Unstructured AI Team is at the forefront of context engineering.
- We create inclusion and belonging through how we onboard, meet, connect, engage, and communicate.
- At Collibra, we’re proud to be an equal opportunity employer.
Equal Opportunity
- We proudly consider qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, sexual orientation, pregnancy, sex, gender identity, gender expression, genetic information, physical or mental disability, HIV status, registered domestic partner status, caregiver status, marital status, veteran or military status, citizenship status or any other legally protected category.
- If you have a need that requires accommodation, let us know by completing our Accommodations for Applicants form.