{"id":3289052,"url":"https://alion.io/job/ontrac-solutions-snowflake-cortex-ai-engineer","title":"Snowflake Cortex AI Engineer","company":{"id":2634,"name":"Ontrac Solutions","domain":"ontracsolutions.net","url":"https://alion.io/company/ontrac-solutions","size_band":"51-200","is_staffing_agency":false,"employer_type":"staffing","is_intermediary":false,"listed_via":null,"ats_vendor":"Breezy","truth_index":{"grade":"B","score":75,"open_postings":8,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":33,"computed_at":"2026-11-01T06:10:25Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"staff","employment_type":"contractor","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Las Vegas, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":132000,"max_usd":262000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":890},"experience_years_min":12,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agentic Workflows","optional":false},{"name":"AI Agents","optional":false},{"name":"Anthropic","optional":false},{"name":"Apache Kafka","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Cortex","optional":false},{"name":"dbt","optional":false},{"name":"ETL/ELT","optional":false},{"name":"GCP","optional":false},{"name":"Gemini","optional":false},{"name":"LLM","optional":false},{"name":"OpenAI","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Snowflake","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Streamlit","optional":false},{"name":"Prometheus","optional":true}],"status":"live","first_seen_at":"2026-10-26T17:29:31Z","employer_posted_date":"2026-10-26","last_verified_at":"2026-11-02T02:50:14Z","board_verified":true,"closed_at":null,"days_open":6,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":6},"description":"OVERVIEW\nOnTrac is seeking a Snowflake Cortex AI Engineer to design, build, and operationalize AI-powered data solutions on Snowflake for an enterprise financial-services customer in Las Vegas. The role combines customer engagement, solution architecture, data engineering, and hands-on AI implementation, with a strong focus on Snowflake Cortex AI, Cortex Code (CoCo and CoCo Desktop), and Snowpark. You will take solutions from workshop and proof of concept through to production. This role is ideal for a highly technical, customer-focused engineer who can engage executives, architect solutions, and build production-grade AI and data platforms hands-on.\nENGAGEMENT\nExpected start: ASAP\nDuration: long term; full-time or contract\nLocation: Las Vegas, NV - onsite Monday to Friday\nYou must be located in, or willing to relocate to, the Las Vegas area, and authorized to work in the United States\nRESPONSIBILITIES\nDesign and implement AI-powered data solutions using Snowflake Cortex AI, Cortex Code (CoCo), and CoCo Desktop\nDevelop and deploy retrieval-augmented generation (RAG), agentic workflows, semantic layers, and enterprise AI applications\nArchitect scalable data platforms on Snowflake, Kafka, Spark, Airflow, dbt, and cloud-native services\nBuild robust ELT/ETL pipelines and real-time integrations\nLead customer workshops, architecture reviews, proofs of concept, and production deployments\nDevelop reusable accelerators, patterns, and best practices\nREQUIRED QUALIFICATIONS\nBachelor's degree, plus 12+ years of IT experience after completing it\n5+ years in data engineering, analytics engineering, or data platforms\nDeep expertise in Snowflake architecture, security, governance, and performance optimization\nHands-on experience with Snowflake Cortex AI, Cortex Code (CoCo / CoCo Desktop), Snowpark, and AI/ML integration patterns\nExperience building LLM, RAG, vector search, and agentic AI solutions\nStrong SQL and Python\nExperience with Airflow, dbt, Spark, Kafka, and at least one cloud platform (AWS, Azure, or GCP)\nStrong customer-facing communication and solution-architecture skills\nUSEFUL QUALIFICATIONS\nSnowflake certifications (SnowPro Advanced: Architect, Data Engineer, or AI specialization)\nStreamlit, Dynamic Tables, Snowpipe, and Snowflake Native Apps\nIntegrating OpenAI, Anthropic, Gemini, or open-source models\nKnowledge of enterprise security, governance, privacy, and compliance frameworks\nBanking, 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