{"id":1935295,"url":"https://alion.io/job/comply-senior-ai-data-engineer","title":"Senior AI Data Engineer","company":{"id":2719055,"name":"Comply","domain":"comply.com","url":"https://alion.io/company/comply-com","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Rippling","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["York, United Kingdom"],"countries":["GB"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":88000,"max_usd":162000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":28},"experience_years_min":null,"visa_sponsorship":true,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon Neptune","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"GCP","optional":false},{"name":"Knowledge Graph","optional":false},{"name":"LLM","optional":false},{"name":"Neo4j","optional":false},{"name":"pgvector","optional":false},{"name":"Pinecone","optional":false},{"name":"Platform Engineering","optional":false},{"name":"Python","optional":false},{"name":"Qdrant","optional":false},{"name":"RAG","optional":false},{"name":"Semantic Search","optional":false},{"name":"Semantic Search","optional":false},{"name":"Weaviate","optional":false},{"name":"PostgreSQL","optional":true}],"status":"live","first_seen_at":"2026-07-16T15:23:09Z","employer_posted_date":"2026-07-16","last_verified_at":"2026-10-07T01:41:20Z","board_verified":true,"closed_at":null,"days_open":82,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":82},"description":"Who Are We:\nComply is the leading provider of compliance SaaS and consulting services for the global financial services sector. With more than 5,000 clients and hundreds of employees across the globe, Comply empowers Chief Compliance Officers and their teams to proactively manage regulatory obligations, mitigate risk, and scale with efficiency and confidence.\nComply serves thousands of global financial services clients including broker-dealers, insurers, investment banks, private funds, RIAs, and wealth managers who rely on Comply offerings to power their compliance programs.\nTo learn more about Comply, visit comply.com\n The Role:\nWe are looking for Senior AI Data Engineers to implement and operationalize Comply’s semantic layer - turning the ontological models defined by our ontologist and architects into working knowledge graphs, vector search infrastructure, and LLM-powered pipelines. This is a hands-on engineering role at the intersection of knowledge representation, AI infrastructure, and data platform engineering. You will own the delivery of semantic layer components, collaborate closely with application and data engineering teams, and ensure that AI-ready data products are reliable, performant, and adopted in practice. You will report into the Data and Analytics organization as part of a new team being created to enable future data capabilities in relation to our AI ambitions.… \nResponsibilities:\nSemantic Layer Implementation\nImplement JSON-LD-based semantic models designed by the ontologist into production data systems\nBuild and maintain knowledge graph structures that reflect canonical domain models • Develop and manage graph database schemas, queries, and data ingestion pipelines\nEnsure semantic consistency between ontology definitions and downstream data product \nAI & Vector Infrastructure\nDesign and implement embedding pipelines that represent Comply’s financial and regulatory data invector space\n\nBuild and operate vector database infrastructure for semantic search and similarity retrieval\nImplement RAG (Retrieval-Augmented Generation) architectures that ground LLM outputs in Comply’sproprietary data\n\nEvaluate and integrate LLM tooling and frameworks appropriate to Comply’s use cases\nData Pipeline & Platform Engineering\nBuild reliable, observable data pipelines that feed the semantic layer from upstream broker andregulatory data sources\n\nApply DataOps practices including testing, monitoring, lineage tracking, and SLAs\nWork with Data Engineers and Backend Engineers to embed semantic models into APIs and data contracts\nEnsure the semantic layer scales with data volume and platform growth\nCollaboration & Enablement\nPartner closely with the Ontologist to ensure implemented models faithfully reflect domain intent\nSupport consuming application teams in understanding and adopting AI-ready data products\nContribute to resolving cross-domain data integration challenges\nSkills and Qualifications:\nStrong hands-on experience in data engineering, with a focus on semantic or AI data infrastructure\nExperience building and operating knowledge graphs or graph databases (e.g. Jena Fuseki, Neo4j, AmazonNeptune, or equivalent)\n\nExperience with vector databases and embedding pipelines (e.g. Pinecone, Weaviate, Qdrant, pgvector)\nPractical experience implementing RAG architectures or LLM-integrated data pipelines\nFamiliarity with semantic web standards - JSON-LD, RDF, OWL, or SKOS\nStrong Python skills and experience with data pipeline frameworks\nExperience with cloud-native data platforms (AWS, Azure, or GCP)\nExposure to domain-driven design (DDD) and bounded contexts is desirable.\nExperience working directly with ontologists or knowledge engineers is a plus. \nFamiliarity with data contracts and data product frameworks is a plus. \nExperience with DataOps tooling, data reliability, or data observability platforms is desirable. \nBackground in financial services, RegTech, or compliance data is a plus. \nTo learn more about our values, mission and the wide-range of perks offered to employees at Comply, visithttps://www.comply.com/careers/.\nComply is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, disability, sex, sexual orientation, gender identity, or national origin. Nothing in this job posting should be construed as an offer or guarantee of employment.\nApplicants must be authorized to work for any employer in the United Kingdom. Currently, we are unable to sponsor or take over sponsorship of an employment Visa at this time.\nComply is aware of scammers posing as Comply employees and extending job offers via direct messaging, texts and social media platforms. These are fraudulent and should be treated as such. To learn more about this, please review our Statement of Fraudulent Job Offers.","description_format":"text","description_chars":4853,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Financial Services","Wealth Management & Financial Advisors","RegTech, AML & Compliance"],"lifecycle":[{"event":"open","at":"2026-10-05T23:30:26Z"}],"visa":[],"liveness":{"score":25,"band":"fade","label":"Fading","p_open":1,"p_active":0.69,"p_room":0.36,"age_days":81,"expected_fill_days":45,"reasons":["conf:1","win:tail","crowd:"],"computed_at":"2026-10-06T05:45:30Z"},"pay":null,"html_url":"https://alion.io/job/comply-senior-ai-data-engineer","json_url":"https://alion.io/job/comply-senior-ai-data-engineer.json","meta":{"generated_at":"2026-10-07T02:01:59Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":3311,"day_limit":5000,"remaining_today":1689,"minute_limit":60,"resets_at":"2026-10-08T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":2719055},"rest":"https://alion.io/mcp/rest/get_company?id=2719055"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fcomply-senior-ai-data-engineer"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fcomply-senior-ai-data-engineer"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fcomply-senior-ai-data-engineer"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/comply-senior-ai-data-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fcomply-senior-ai-data-engineer"}]}