Senior AI Engineer (Unstructured AI)

• Shipping complex systems under real ambiguity — often defining the scope and acceptance criteria yourself, not receiving them
• Writing and reviewing production-grade backend code (Python, FastAPI) — you write the services you design, rather than handing implementation to someone else
• 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
• Within your first month, you will develop a deep understanding of our product vision and the unstructured data stack that powers it, shipping your first set of end-to-end features
• Within your third month, you will take full ownership of technical delivery for key product areas, building robust capabilities that handle complex document processing and ensure a stable, high-performance experience for users interacting with diverse data sources
• Within your sixth month, you will drive the development of ambitious, enterprise-grade AI product features that solve for data at scale, architecting the high-performance pipelines and advanced context engineering required to deliver accurate, reliable results

Benefits

• {Be}Unplugged: Our paid time off programs include vacation, holidays, sick time and compassionate/bereavement leave. We also offer remote-friendly meditation sessions and cooking lessons – all of which you’re actively encouraged to use!
• {Be}Informed: Competitive compensation, bonus potential, private company equity, merit reviews and promotion cycles, company pension, discounts programs, access to LinkedIn Learning, employee referral program, employee rewards & recognition, development programs and more!
• When in-person (office) life resumes, we look forward to more snacks, catered lunches, team offsites and social events (think holiday gift exchange, fundraising events, happy hours, celebrations and more)!
• Unlimited paid time off policy
• Work from home opportunities
• {Be}Healthy: Healthcare for yourself and eligible dependents (inclusive of partners/domestic partners), mental health resources and care, tax-advantaged accounts, income protection, discount programs and more! Additionally, we encourage employees to treat their whole self by offering a bi-monthly calendar of events and programming dedicated to our {Be}well initiatives which focus on wellbeing areas including emotional, professional & social, financial, physical, allyship & belonging and giving back.
• {Be}With Family: We offer multiple types of leave so that you can spend time with loved ones, including parental leave, caregiver leave and our annual family day. These are all complementary to our culture in which we value output over hours.
• {Be}Kind: Collibra For Good, Unconscious Bias & Allyship training, Manager Racial Injustice training and Collibra-led fundraisers.
• {Be}Together: Community and belonging with our Employee Resource Groups (ERGs) and personal interest groups, ERG-driven events, speaker series, and celebrations, a dedicated DEI council, the virtual Collibra cafe, trivia, bingo games and much more.- Solid understanding of data pipelines, microservice architecture, and API design
• Hands-on work with LLM-based and AI-driven enrichment models (e.g., classification, entity extraction, deduplication, PII detection)
• 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. Same discipline when coding agents write for you — tests, review gates, repo conventions
• Strong proficiency in Python (data processing, API development, and integrations)
• 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
• A bachelor’s degree or equivalent related working experience is required
• Experience shipping tested, reviewed production services rather than notebooks — and the discipline to hold that line when a coding agent writes the first draft
• Production experience with Spark or comparable big data frameworks — you’ve tuned and debugged jobs at real scale, not just written ones that worked on sample data
• Experience with search relevance
• Knowledge of model evaluation best practices
• 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 — without a PM converting it into tickets first
• Experienced in spotting risks early and course-correcting without friction when delivery timelines are tight
• Strong communication and stakeholder-management skills across technical and business teams
• Someone who cares deeply about data quality, precision, and governance
• 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