{"id":3479293,"url":"https://alion.io/job/marriott-international-directorprinciple-engineer-platform-engineering-tip-ai-platform","title":"Director/Principle Engineer, Platform Engineering – TIP.AI Platform","company":{"id":800,"name":"Marriott International","domain":"marriott.com","url":"https://alion.io/company/marriott-international","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Oracle","truth_index":{"grade":"B","score":78,"open_postings":11,"ghost_share":0.273,"stale_share":0,"repost_share":0.727,"time_to_fill_p50_days":3,"computed_at":"2026-11-03T05:54:40Z"}},"role":"DevOps","role_family":"DevOps","seniority":"head","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bethesda, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":112000,"max_usd":230000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":105},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"GCP","optional":false},{"name":"Platform Engineering","optional":false},{"name":"SLI/SLO/SLA","optional":false}],"status":"live","first_seen_at":"2026-10-29T17:52:16Z","employer_posted_date":"2026-10-29","last_verified_at":"2026-11-04T00:29:52Z","board_verified":true,"closed_at":null,"days_open":5,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":5},"description":"Position Overview\nThe Director, AI Platform Engineering is a senior technical role responsible for designing, building, and operating the highly scalable, resilient platform infrastructure that powers AI systems across the enterprise. This role functions as a principal engineer, building and architecting technical solutions, establishing platform standards, and solving the most complex scalability, reliability, and performance challenges, while also providing technical leadership and mentorship across multiple engineering teams.\nThe ideal candidate is deeply hands-on, systems-oriented, and experienced operating large-scale, cloud-native platforms that support mission-critical AI, data, and automation workloads. This leader thrives at the intersection of architecture, reliability, developer productivity, and operational excellence.\nKey Responsibilities\nDefine and evolve the core platform architecture for TIP.AI, ensuring it is scalable, highly available, secure, and cost-efficient at enterprise scale.\nEstablish and maintain reference architectures, design patterns, and engineering standards for platform services.\nOwn platform reliability, including availability, performance, resiliency, and disaster recovery.\nDefine and enforce SLOs, SLIs, and error budgets for core platform services.\nBuild and mature observability practices (metrics, logs, traces) to ensure deep operational insight.\nPartner with security teams to ensure platform designs meet enterprise security, privacy, and compliance requirements.\nBuild internal platform capabilities and shared services that improve developer velocity and consistency.\nEstablish CI/CD, deployment, and runtime patterns that enable safe, fast delivery at scale.\nReduce cognitive load on application teams by abstracting infrastructure complexity behind well-designed platform interfaces.\nAct as the principal technical authority for the TIP.AI Platform team.\nMentor senior and staff-level engineers, raising the technical bar across the organization.\nInfluence without direct authority, partnering closely with product, data, AI, and security leaders.\nPartner with product, AI, and business leaders to align platform capabilities with TIP.AI’s long-term roadmap.\nTranslate business and growth goals into scalable technical strategies.\nRequired Qualifications\nDeep experience designing, building and operating large-scale, distributed, systems\nStrong background in fault tolerant, auto-recoverable software systems at scale.\nProven expertise in reliability engineering, scalability, and performance optimization.\nHands-on experience with at least one major cloud platform (AWS, Azure, or GCP).\nStrong proficiency in infrastructure-as-code and CI/CD systems.\nDemonstrated ability to lead through influence, mentor senior engineers, and set technical direction across teams.\nFull-Stack Entrepreneurial Mindset: Must have bootstrapped/built at least one full stack system delivered to real users.\nExcellent verbal communication skills, with the ability to articulate complex architectural decisions clearly.\nAbility to produce/review extremely clean software documentation\nAbility to effectively communicate async with remote team members across the globe.\nPreferred Qualifications\nExperience supporting AI/ML, data platforms, or high-scale automation systems.\nBackground in platform teams serving multiple internal product or engineering groups.\nFamiliarity with security, privacy, and compliance requirements in large enterprises.\nExperience driving cost governance and efficiency for large-scale cloud platforms.\nPrior work in highly regulated or global enterprise environments.\nWhy This Role Matters\nTIP.AI’s success depends on a platform that is rock-solid, scalable, and invisible to its users. This role ensures the foundation is strong enough to support rapid innovation while remaining secure, reliable, and cost-effective at scale. It is a rare opportunity to operate as a true principal engineer while shaping the long-term technical future of a flagship enterprise platform.\nAt Marriott International, we are dedicated to being an equal opportunity employer, welcoming all and providing access to opportunity. We actively foster an environment where the unique backgrounds of our associates are valued and celebrated. Our greatest strength lies in the rich blend of culture, talent, and experiences of our associates. 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