{"id":642495,"url":"https://alion.io/job/mastercard-senior-ai-engineer-6","title":"Senior AI Engineer","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":174,"ghost_share":0.017,"stale_share":0.437,"repost_share":0.069,"time_to_fill_p50_days":27,"computed_at":"2026-10-30T05:48:23Z"}},"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":89000,"max_usd":164000,"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":"AI Agents","optional":false},{"name":"CI/CD","optional":false},{"name":"Databricks","optional":false},{"name":"Git","optional":false},{"name":"Jenkins","optional":false},{"name":"LLM Evaluation","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Claude Code","optional":true},{"name":"Copilot","optional":true},{"name":"CrewAI","optional":true},{"name":"Docker","optional":true},{"name":"Kubernetes","optional":true},{"name":"LangChain","optional":true},{"name":"LangGraph","optional":true},{"name":"MLFlow","optional":true},{"name":"Model Context Protocol","optional":true},{"name":"Weights & Biases","optional":true}],"status":"live","first_seen_at":"2026-09-10T20:02:16Z","employer_posted_date":"2026-09-24","last_verified_at":"2026-10-30T20:26:55Z","board_verified":true,"closed_at":null,"days_open":50,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":50},"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 EngineerOverview:AI Solutions, part of Mastercard’s AI & Data organization, scales AI across the enterprise, moving use cases beyond pilots into trusted, production-grade capabilities embedded in Mastercard’s platforms and products. Centralizing this capability drives speed to scale, operational resilience, consistent delivery standards, and responsible AI by design, in close partnership with the AI Center of Excellence.\nThis position sits on the Horizontal Enablement team, reporting to the Manager, AI Engineering who heads the Tooling and Agent Development remit. The remit builds the internal tooling and agentic systems that make AI development faster and more repeatable across Mastercard and works alongside data science teams to move their research products into production. As a Senior AI Engineer, you will independently build and ship agent-based applications and developer tooling, and partner with data science counterparts and engineering partners to take proofs of concept from experiment to deployable solution.\nAbout the Role:\nIndependently execute key elements of projects within AI Engineering, resolving problems and roadblocks as they arise.\nDesign and build agentic systems and internal tooling, including agent orchestration, tool and API integration, memory and context handling, prompt and workflow design, evaluation harnesses, and guardrails for safe and reliable behavior.\nContribute to the design and development of scalable AI and machine learning systems that address complex business needs, adhering to engineering best practices.\nWork with data science counterparts to understand their research products and translate proofs of concept into deployable solutions, then liaise with engineering partners to carry those solutions through to production.\nImplement models into production, designing scalable training pipelines and deployment frameworks.\nConduct hyperparameter tuning and validation to meet targeted performance metrics, ensuring robustness and efficiency.\nMonitor model and agent performance, manage versioning, and update solutions to sustain high-quality outputs.\nEnsure the operational stability and scalability of AI systems, adhering to ethical guidelines and contributing to the organization’s AI infrastructure.\nContribute to solution development for new tools and services and lead smaller projects as an experienced individual contributor with specialized knowledge.\nAll About You:\nBachelor’s degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Engineering, or a related field; equivalent practical experience considered.\nHands-on experience building agentic systems in production or near-production settings, including agent frameworks, tool and API integration, multi-step workflows, evaluation, and guardrails.\nPractical experience with Generative AI and LLMs, including prompt design, RAG patterns, and model selection and evaluation trade-offs.\nExperience partnering with data scientists or researchers to productionize proofs of concept and working with engineering partners to deliver them.\nProficiency in Python and SQL, with solid software engineering fundamentals in testing, version control, packaging, and code review.\nExperience building and consuming APIs and integrating with internal platforms and third-party services.\nHands-on experience with CI/CD and build tooling such as Git, Jenkins, Maven, and Artifactory.\nExperience deploying models or applications to production and supporting them operationally, including monitoring, versioning, and troubleshooting.\nWorking knowledge of machine learning and deep learning techniques and the model lifecycle, including hyperparameter tuning and validation.\nExperience with Databricks, Spark, or comparable distributed data processing environments.\nExperience working in cloud environments.\nAbility to work independently, communicate technical concepts clearly, and collaborate across data science and engineering teams.\nPreferred Qualifications\nExperience with agent and orchestration frameworks such as LangGraph, LangChain, CrewAI, or the Model Context Protocol.\nExperience with agent evaluation and observability, including tracing, regression testing, and quality benchmarking.\nFamiliarity with AI-assisted development tools such as GitHub Copilot or Claude Code.\nExperience with MLOps tools such as MLflow, Comet, or Weights and Biases.\nExperience with containerization and orchestration technologies such as Docker and Kubernetes.\nExperience building internal developer tooling, SDKs, or self-service platforms adopted by other engineering teams.\n• Familiarity with responsible AI practices, data governance, and sensitive data handling.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":6905,"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":"2026-09-10T20:02:16Z"}],"visa":[],"liveness":{"score":25,"band":"fade","label":"Fading","p_open":1,"p_active":0.691,"p_room":0.36,"age_days":49,"expected_fill_days":27,"reasons":["conf:3","velocity","win:tail","crowd:brand"],"computed_at":"2026-10-30T05:48:23Z"},"pay":null,"html_url":"https://alion.io/job/mastercard-senior-ai-engineer-6","json_url":"https://alion.io/job/mastercard-senior-ai-engineer-6.json","meta":{"generated_at":"2026-10-30T21:12:30Z","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":11504,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-31T00:00:00Z"}},"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-6"},{"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-6"},{"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-6"},{"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-6\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fmastercard-senior-ai-engineer-6"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":642495}},{"tool":"search_jobs","arguments":{"company":"mastercard.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":642495},"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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