{"id":589207,"url":"https://alion.io/job/collibra-senior-ai-engineer-unstructured-ai-3","title":"Senior AI Engineer, Unstructured AI","company":{"id":6598,"name":"Collibra","domain":"collibra.com","url":"https://alion.io/company/collibra","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":null,"work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Brussels, Belgium"],"countries":["BE"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":84000,"max_usd":220000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":2365},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Collibra","optional":false},{"name":"Context Engineering","optional":false},{"name":"FastAPI","optional":false},{"name":"LLM","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"Machine Learning","optional":false},{"name":"OneDrive","optional":false},{"name":"Python","optional":false},{"name":"SharePoint","optional":false},{"name":"Spark","optional":false},{"name":"Structured Outputs","optional":false},{"name":"Unstructured.io","optional":false}],"status":"live","first_seen_at":"2026-08-17T18:40:53Z","employer_posted_date":"2026-10-01","last_verified_at":"2026-11-03T14:34:48Z","board_verified":true,"closed_at":null,"days_open":77,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":77},"description":"Joining Collibra’s Unstructured AI Team\nWork at the forefront of context engineering - shaping how AI systems retrieve, structure, and leverage context to deliver accurate, high-quality results at scale.\nOwn end-to-end technical delivery of Unstructured AI systems - from feature prototype to stable production across enterprise environments.\nBuild and scale full-stack systems that ingest, process, and enrich large volumes of unstructured content from distributed enterprise silos (PDFs, contracts, reports, and other document types).\nCollaborate with the Best: Work closely with xYC Founders to understand complex business challenges and deliver Deasy to solve them. Be part of a dynamic team where ideas flow freely and creativity thrives.\nLearn and Lead: Stay ahead of the curve by engaging with the latest developments in machine learning and AI. Share knowledge and lead by example to maintain high building standards.\nThis is a hybrid role based in our Brussels 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.\nSenior AI Engineer at Collibra are responsible for\nShipping complex systems under real ambiguity - often defining the scope and acceptance criteria yourself, not receiving them.\nWriting and reviewing production-grade backend code (Python, FastAPI) - you write the services you design, rather than handing implementation to someone else.\nBuilding/deploying document-processing systems that handle large-scale, unstructured data environments.\nIntegrating data from diverse enterprise data sources (e.g., SharePoint, Salesforce, or internal APIs) to provide context for AI features.\nPartnering across engineering, product, and sales teams, ensuring alignment from prototype to rollout.\nOccasionally working with modern frontend development.\nYou have\nStrong proficiency in Python (data processing, API development, and integrations).\nHands-on work with LLM-based and AI-driven enrichment models (e.g., classification, entity extraction, deduplication, PII detection).\nProduction 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.\nExperience shipping tested, reviewed production services rather than notebooks - and the discipline to hold that line when a coding agent writes the first draft.\nA 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.\nSolid understanding of data pipelines, microservice architecture, and API design.\nExperience ingesting and processing data from third-party enterprise sources (e.g., SharePoint/OneDrive, Salesforce, and SaaS-based knowledge bases).\nFamiliarity with metadata systems, data cataloging, or document AI workflows.\nKnowledge of model evaluation best practices.\nExperience with search relevance.\nA bachelor’s degree or equivalent related working experience is required.\nAgentic 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.\nYou must have work authorization to work in Brussels. \nYou Are\nCalm, structured decision-making under tight timelines or ambiguity.\nCapable of communicating clearly across engineering, product, and field teams, ensuring alignment from prototype to rollout.\nExperienced in spotting risks early and course-correcting without friction when delivery timelines are tight.\nSomeone who cares deeply about data quality, precision, and governance.\nStrong communication and stakeholder-management skills across technical and business teams.\nMeasures of Success\nWithin 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.\nWithin 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.\nWithin 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.\nBenefits at Collibra\nCollibra recognizes and values that everyone has different needs, interests, and life goals. We built our benefits program with flexibility in mind to support you and your loved ones through a diverse range of circumstances and life events. These flexible offerings sit on a foundation of competitive compensation, health coverage, and time off. Learn more about Collibra’s benefits.\nWe create inclusion and belonging through how we onboard, meet, connect, engage, and communicate. Learn more about diversity, equity, and inclusion at Collibra.\nAt Collibra, we’re proud to be an equal opportunity employer. We realize the key to creating a company with a world-class culture and employee experience comes from who we hire and creating a workplace that celebrates everyone.\nWith this, 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. 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