{"id":3201225,"url":"https://alion.io/job/intercontinental-exchange-senior-qa-engineer-ai","title":"Senior QA Engineer, AI","company":{"id":58612,"name":"Intercontinental Exchange","domain":"ice.com","url":"https://alion.io/company/intercontinental-exchange","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Jibe","truth_index":{"grade":"B","score":75,"open_postings":34,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":25,"computed_at":"2026-10-29T05:49:05Z"}},"role":"QA","role_family":"QA","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Hyderabad, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":11000,"max_usd":27000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":35},"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon SageMaker","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"Cypress","optional":false},{"name":"DeepEval","optional":false},{"name":"GCP","optional":false},{"name":"GDPR","optional":false},{"name":"Git","optional":false},{"name":"GraphQL","optional":false},{"name":"Hallucination","optional":false},{"name":"ISO 27001","optional":false},{"name":"LangSmith","optional":false},{"name":"LLM","optional":false},{"name":"LLM Evaluation","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"NIST AI RMF","optional":false},{"name":"Playwright","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Ragas","optional":false},{"name":"Rest API","optional":false},{"name":"Selenium","optional":false},{"name":"SOC 2","optional":false},{"name":"SQL","optional":false},{"name":"Vertex AI","optional":false}],"status":"live","first_seen_at":"2026-10-07T16:05:00Z","employer_posted_date":"2026-10-24","last_verified_at":"2026-10-29T07:36:20Z","board_verified":true,"closed_at":null,"days_open":21,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":21},"description":"ICE's AI Center of Excellence is looking for a Senior Software Test Engineer to own QA for our AI powered applications. This role works with Systems Analysts, Development, and QA to understand business/product and system requirements and define test scenarios for AI applications, combining core QA fundamentals, Python scripting, and API validation with specialized AI/LLM evaluation skills such as detecting hallucinations, bias, and drift.\nResponsibilities\nLead test strategy for AI/ML features: model output validation, regression testing across model/prompt versions, and edge case discovery.\nBuild evaluation frameworks for testing AI outputs for accuracy, consistency, bias, hallucination, and safety/guardrail compliance.\nDefine golden datasets, ground truth labels, and release acceptance criteria with data science and ML engineering.\nAutomate prompt based test suites and model evaluation metrics into CI/CD release gates.\nLead and mentor a QA team, setting AI testing standards across projects.\nTranslate AI feature requirements into test scenarios and quality gates.\nMonitor production of AI behavior and evolve test coverage based on real world failures.\nKnowledge and Experience\n8+ years of QA/test engineering experience, including 3+ years testing AI, ML, or data driven applications.\n3+ years of experience with AI/LLM evaluation frameworks: prompt regression, hallucination detection, bias/fairness testing, and model/data drift detection.\n5+ years of Python experience for test automation, data analysis, and evaluation scripting.\n3+ years of experience with UI automation frameworks (Selenium, Playwright, or Cypress) for AI powered features.\nStrong SQL and data validation skills for testing the pipelines that feed AI models.\nWorking knowledge of ML fundamentals: evaluation of metrics, train/validation/test splits, model versioning.\nExperience testing conversational AI/chatbots: multi turn dialogue, intent/context handling, and guardrail validation against harmful or adversarial prompts.\nExperience testing REST/GraphQL APIs: functional, contract, and schema validation, auth testing, negative/boundary testing, and load testing.\nExperience testing AI applications for infosec: prompt injection resistance, data leakage/PII exposure prevention, access control, and secure endpoint authentication, per organizational security policy.\nAbility to validate AI applications against organizational compliance requirements and frameworks (SOC 2, ISO 27001, NIST AI RMF, GDPR), coordinating with InfoSec and Compliance.\nPreferred Knowledge and Experience\nExperience testing RAG systems or autonomous agents.\nFamiliarity with responsible AI principles: fairness, transparency, safety guardrails.\nExperience with LLM eval tools such as LangSmith, Ragas, or DeepEval.\nExposure cloud AI/ML platforms (AWS SageMaker, Azure ML, or GCP Vertex AI).\nExperience in financial services, Mortgage or fintech applications.\nExperience with Git or other version control 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