{"id":2174865,"url":"https://alion.io/job/mastercard-principal-software-engineering-2","title":"Principal, Software Engineering","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":94,"open_postings":254,"ghost_share":0.016,"stale_share":0.358,"repost_share":0.094,"time_to_fill_p50_days":21,"computed_at":"2026-10-17T05:46:00Z"}},"role":"Sales","role_family":"Sales","seniority":"lead","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Dublin, Ireland"],"countries":["IE"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agentic Workflows","optional":false},{"name":"Agile","optional":false},{"name":"AI Agents","optional":false},{"name":"Amazon Aurora","optional":false},{"name":"AWS","optional":false},{"name":"Claude","optional":false},{"name":"Copilot","optional":false},{"name":"Databricks","optional":false},{"name":"Snowflake","optional":false}],"status":"live","first_seen_at":"2026-10-09T13:47:03Z","employer_posted_date":"2026-10-09","last_verified_at":"2026-10-17T03:51:18Z","board_verified":true,"closed_at":null,"days_open":8,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":8},"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\nPrincipal, Software EngineeringWho is Mastercard?Mastercard is a global technology company in the payments industry, building digital platforms that securely power commerce at global scale. Our technology enables innovation across financial services, data, AI, and digital experiences, while maintaining the highest standards of reliability, security, and trust.\nBusiness & Market Insights (B&MI) is Mastercard’s data, analytics, and intelligence organization, responsible for transforming vast, global data assets into actionable insights and decision support products for customers across industries. B&MI builds platforms and products that move beyond static analytics, embedding AI, advanced modeling, and increasingly agentic systems directly into customer workflows to help clients understand what is happening, what will happen next, and what actions to take. The team operates on a global scale, where product, engineering, and data teams come together to deliver secure, governed, and production ready intelligence solutions that drive measurable business outcomes.\nRole Summary\nWe are looking for a Principal Engineer within our Advisors & Transformation group who will be responsible for accelerating our consulting transformation through AI & technology, partnering closely with business, product, AI, data, and engineering leaders to establish unified technology for the future of Consulting. This Principal Engineer will design both a scalable and reusable AI Platform that will manage and drive AI productivity across the consulting organization, support AI commercialization in consulting engagements, and support existing portfolio or technology partnerships.\nThe Principal Engineer will help scale tooling such as Claude, Copilot, and Cowork; enable agent orchestration and integration layers; extend AI knowledgebase capabilities; establish finops/tokenops models; and distribute reusable AI best practices, skills, and agents across Consulting.\nThis is a highly collaborative role that will require close partnership with enterprise and services teams including enterprise AI, data governance, corporate security, compliance, sourcing, and Consulting business leaders. Success will require building shared capabilities into scalable, day-to-day productivity and commercialization solutions supporting thousands of advisors and consultants.\nRoles and Responsibilities\nAs a Principal Software Engineer, you will:\nDesign and build a scalable, reusable AI Platform for the program\nHelp drive AI enablement across the wider group.\nLead technical design and architecture, ensuring scalability, security, and performance.\nSupport ongoing initiatives and lead technical design and drive solutions and implementation with key stakeholders.\nDrive migration efforts for key components toward the future state architecture.\nHelp define and implement a strategy towards future state architecture.\nCollaborate with cross-functional teams to deliver innovative AI solutions that enhance user experience and accelerate digital transformation.\nHelp ensure solutions align with Mastercard technology standards, architecture expectations, operating requirements, security, reliability, and scale needs.\nMentor engineering teams and establish best practices\nServe as the architecture advisor for new business opportunities, ensuring technical feasibility, capability needs, and architecture implications are considered early in the opportunity lifecycle.\nPartner with product, business, sourcing, and engineering teams to shape opportunity hypotheses, solution concepts, business cases, and early feasibility assessments.\no Evaluate new ideas, market signals, emerging technology trends, and opportunity spaces through technology, architecture, and capability lens.\no Support the design and evolution of agentic and AI-enabled opportunity identification capabilities, taxonomies, prompt architectures, agent workflows, evaluation frameworks, and supporting intelligence systems as relevant to the role.\nChallenge assumptions and identify material technical risks early, before significant resources are committed to development or deployment.\nGuide architecture, platform, and capability decisions during incubation, prototype, market test, commercialization, and scale phases.\nIdentify common capabilities, platforms, architectural patterns, and reusable assets that can accelerate value creation across multiple opportunities.\no Define and maintain perspectives on relevant target-state architectures, including how future capabilities should be structured, integrated, governed, and scaled.\no Help ensure solutions align with Mastercard technology standards, architecture expectations, operating requirements, security, reliability, and scale needs.\no Mentor and influence engineers, architects, and product partners by contributing to shared engineering standards, architectural decisions, and technical decision quality.\nRequired Skills and Experience\nWe are seeking a dynamic and experienced Principal Engineer who is passionate about AI, engineering, transformation, and scaled business impact\nBachelor’s degree in computer science, Engineering, or equivalent practical experience.\nSignificant professional experience building distributed, production-grade software systems, including 8 or more years of full-stack engineering experience in an agile production environment.\nExperience executing a technology strategy for a market-facing business in close collaboration with Product, Data Science, business, and peer technology leaders.\nStrong understanding of GenAI, agentic workflows, AI enablement, orchestration patterns, reusable agent/skill libraries, and applied AI delivery in a scaled enterprise environment.\nExperience scaling productivity capabilities across a large team, including commercial AI and agentic platforms.\nStrong understanding of APIs, services, asynchronous workflows, distributed systems, and enterprise-grade software architecture.\nExperience building or integrating systems that use LLMs, AI services, agent frameworks, workflow engines, orchestration platforms, or related technologies.\nExperience building, integrating, and scaling platforms or internal products that improve productivity, standardization, and delivery quality across large user populations.\nA strong hands-on technologist with very strong Object-Oriented Design and excellent programming skills, design principles aimed at creating re-usable, scalable components\nPassionate about AI, emerging technologies and trends.\nFamiliarity with cloud technologies and platforms, including but not limited to AWS EMR, Aurora, Databricks, and Snowflake, used to build and scale data-intensive applications.\nAbility to analyse, conceptualize and create cutting edge technical solutions based on the business needs\nStrong communication skills, written and verbal, with experience presenting to executive and cross-functional stakeholders.\nCoordination and organization skills and the ability to work with multiple stakeholders and vendors across locations to ensure success of the project.\nStrong understanding, inclination, and experience of working in an Agile environment.\n• Strong technical judgment and ability to evaluate tradeoffs across build, buy, partner, platform, architecture, scalability, integration, and operating model considerations.\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 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