{"id":3362785,"url":"https://alion.io/job/mastercard-senior-ai-engineer-big-data-ai-solutions","title":"Senior AI Engineer, Big Data & AI Solutions","company":{"id":252,"name":"Mastercard","domain":"mastercard.com","url":"https://alion.io/company/mastercard","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":87,"open_postings":189,"ghost_share":0.016,"stale_share":0.423,"repost_share":0.079,"time_to_fill_p50_days":27,"computed_at":"2026-10-31T05:58:55Z"}},"role":"AI/ML","role_family":"AI/ML","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":["Vancouver, Canada"],"countries":["CA"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":88000,"max_usd":163000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":74},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"CI/CD","optional":false},{"name":"Databricks","optional":false},{"name":"Hadoop","optional":false},{"name":"Linux","optional":false},{"name":"Machine Learning","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"Unix","optional":false},{"name":"AI Agents","optional":true},{"name":"Claude Code","optional":true},{"name":"Copilot","optional":true},{"name":"RAG","optional":true},{"name":"Spark","optional":true}],"status":"live","first_seen_at":"2026-10-27T21:56:59Z","employer_posted_date":"2026-10-27","last_verified_at":"2026-10-31T22:23:57Z","board_verified":true,"closed_at":null,"days_open":4,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":4},"description":"Our Purpose\nMastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential.\nTitle and Summary\nSenior AI Engineer, Big Data & AI SolutionsWho is Mastercard?Mastercard is a global technology company in the payments industry. Our mission is to connect and power an inclusive, digital economy that benefits everyone, everywhere by making transactions safe, simple, smart, and accessible. Using secure data and networks, partnerships and passion, our innovations and solutions help individuals, financial institutions, governments, and businesses realize their greatest potential.\nOur decency quotient, or DQ, drives our culture and everything we do inside and outside of our company. With connections across more than 210 countries and territories, we are building a sustainable world that unlocks priceless possibilities for all.\nOverview\nThe Security Solutions Data Science team develops AI and machine learning capabilities that help protect the global payments ecosystem from fraud and cyber threats. Supporting Mastercard's Safety Net product, the team creates and enhances models that analyze billions of transactions and identify suspicious activity in real time.\nAs a Senior AI Engineer, you will work at the intersection of AI engineering and big data engineering, helping improve the models, data assets, and operational processes that power fraud detection. You will collaborate closely with Data Scientists and Engineers to strengthen feature engineering, advance model monitoring capabilities, and deliver AI-driven solutions that improve performance and efficiency.\nRole\nAs a Senior AI Engineer, you will:\nSupport machine learning models that help detect cyber-attacks, fraud and improve decision intelligence.\nCreate data pipelines and feature engineering workflows that enable model development and evaluation.\nProcess and analyze large-scale datasets to uncover insights and improve model inputs.\nStrengthen monitoring, observability, and drift detection capabilities across production environments.\nApply automation and MLOps practices to improve reliability, efficiency, and scalability.\nDevelop AI-powered solutions that address engineering challenges and streamline operational processes.\n-Partner with Data Scientists, Engineers, and Product teams to bring new capabilities into production.\nContribute ideas that improve model performance, operational visibility, and team productivity.\nRequired Qualifications\nMaster’s degree with relevant experience, or Bachelor’s degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Engineering, or a related field; equivalent practical experience will also be considered.\nProficiency in Python, PySpark, SQL, and distributed data processing.\nHands-on experience with feature engineering, large-scale data processing, and analytics.\nHands-on experience with Databricks, Airflow, Hadoop, Linux/Unix, cloud-native technologies\nUnderstanding of machine learning and deep learning techniques.\nUnderstanding of model deployment, evaluation, monitoring, and optimization.\nKnowledge of MLOps concepts including testing, automation, CI/CD, and version control.\nAbility to communicate technical concepts and collaborate across teams.\nPreferred Qualifications\nFraud, cybersecurity, payments, or risk management domains.\nExperience with Generative AI, LLMs, RAG, or agentic AI applications.\nFamiliar with AI-assisted development tools such as GitHub Copilot, or Claude Code.\n• Experience working with cloud-based data and AI environments.Mastercard is a merit-based, inclusive, equal opportunity employer that considers applicants without regard to gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law. We hire the most qualified candidate for the role. In the US or Canada, if you require accommodations or assistance to complete the online application process or during the recruitment process, please contact  and identify the type of accommodation or assistance you are requesting. Do not include any medical or health information in this email. The Reasonable Accommodations team will respond to your email promptly.\nCorporate Security Responsibility\nAll activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must:\nAbide by Mastercard’s security policies and practices;\n\nEnsure the confidentiality and integrity of the information being accessed;\n\nReport any suspected information security violation or breach, and\n\nComplete all periodic mandatory security trainings in accordance with Mastercard’s guidelines.\n\nIn line with Mastercard’s total compensation philosophy and assuming that the job will be performed in Canada, the successful candidate will be offered a competitive pay based on location, experience and other qualifications for the role and may be eligible to participate in a discretionary annual incentive program.Pay Ranges\nVancouver, Canada: $111,000 - $160,000 CAD","description_format":"text","description_chars":5620,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Cards & Card Issuing","Payment Processing & Gateways"],"lifecycle":[{"event":"open","at":"2026-10-27T21:56:59Z"}],"visa":[],"liveness":{"score":90,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.903,"p_room":1,"age_days":3,"expected_fill_days":27,"reasons":["conf:9","velocity","win:early","comp:brand"],"computed_at":"2026-10-31T05:58:55Z"},"pay":null,"html_url":"https://alion.io/job/mastercard-senior-ai-engineer-big-data-ai-solutions","json_url":"https://alion.io/job/mastercard-senior-ai-engineer-big-data-ai-solutions.json","meta":{"generated_at":"2026-10-31T23:33:16Z","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_verified","counted_by":"address","units_charged":1,"used_today":36851,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-01T00:00:00Z"}},"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":252},"rest":"https://alion.io/mcp/rest/get_company?id=252"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fmastercard-senior-ai-engineer-big-data-ai-solutions"},{"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%2Fmastercard-senior-ai-engineer-big-data-ai-solutions"},{"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%2Fmastercard-senior-ai-engineer-big-data-ai-solutions"},{"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/mastercard-senior-ai-engineer-big-data-ai-solutions\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fmastercard-senior-ai-engineer-big-data-ai-solutions"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":3362785}},{"tool":"search_jobs","arguments":{"company":"mastercard.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":3362785},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. 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