{"id":2468149,"url":"https://alion.io/job/ey-ai-platform-engineering-lead-senior-manager","title":"AI Platform Engineering Lead (Senior Manager)","company":{"id":2859,"name":"EY","domain":"ey.com","url":"https://alion.io/company/ey-com","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"SuccessFactors","truth_index":null},"role":"DevOps","role_family":"DevOps","seniority":"lead","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Indianapolis, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":172800,"max":359000,"currency":"USD","period":"year","gross":null,"usd_annual":359000},"salary_estimate":null,"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Amazon EKS","optional":false},{"name":"ArgoCD","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Azure AKS","optional":false},{"name":"CI/CD","optional":false},{"name":"Cilium","optional":false},{"name":"Crossplane","optional":false},{"name":"Envoy","optional":false},{"name":"GCP","optional":false},{"name":"GitOps","optional":false},{"name":"Google GKE","optional":false},{"name":"Helm","optional":false},{"name":"Incident Management","optional":false},{"name":"K3s","optional":false},{"name":"Kubernetes","optional":false},{"name":"OpenTofu","optional":false},{"name":"Platform Engineering","optional":false},{"name":"Ray","optional":false},{"name":"Ray Serve","optional":false},{"name":"Service Mesh","optional":false},{"name":"SLI/SLO/SLA","optional":false},{"name":"SLURM","optional":false},{"name":"Terraform","optional":false},{"name":"Triton","optional":false},{"name":"Ubuntu","optional":false},{"name":"Velero","optional":false},{"name":"vLLM","optional":false}],"status":"live","first_seen_at":"2026-10-13T19:08:14Z","employer_posted_date":"2026-10-13","last_verified_at":"2026-10-18T09:01:07Z","board_verified":true,"closed_at":null,"days_open":4,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":4},"description":"Location: Anywhere in Country\nAt EY, we’re all in to shape your future with confidence.\nWe’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world.\nThe opportunity\nWe are seeking a senior leader for our AI Platform Engineering group, the team that builds and operates the foundational substrate powering EY’s AI-native platform. This role is accountable for the infrastructure and cloud-native platform layers of our AI runtime, from bare-metal and GPU infrastructure through Kubernetes, cluster fabric, secure inference, and multi-tenant scaling. You will set the technical direction for a team of AI Infrastructure and AI Systems Engineers, and be accountable for standing up and running EY AI environments across cloud, on-prem, edge, client-managed, and air-gapped targets.\nThis is a player-coach role. You will direct the team’s work and own the delivery roadmap, while remaining a hands-on individual contributor who personally designs, builds, and troubleshoots the most critical and complex parts of the platform. The role is ideal for a senior engineering leader who is as comfortable troubleshooting a cluster configuration as they are in leading an executive review, who can set a phased roadmap and hold delivery gates under pressure, who treats reliability and portability as non-negotiable in regulated client contexts, and who understands that the substrate is a product in its own right, measured by the velocity, safety, and portability it unlocks for every team building above it.\nYour key responsibilities\n Lead and develop the AI Platform Infrastructure Engineering team: direct the day-to-day and longer-term work of AI Infrastructure and AI Systems Engineers, set priorities, allocate work, and remove blockers so the team delivers predictably; hire, mentor, and coach engineers, set engineering standards (design reviews, code reviews, runbooks), and grow technical depth and leadership capability across the team.\nBuild hands-on as a senior individual contributor: personally design, implement, and debug the hardest and highest-risk components of the platform - cluster bring-up, GPU and networking enablement, multi-tenancy, inference and routing - and lead by example on engineering quality.\nOwn the infrastructure delivery roadmap: sequence the build into phases that each put a usable capability into engineering teams’ hands, define and defend entry and exit gates, and report progress, risk, and trade-offs to senior leadership.\n Own the infrastructure foundation and cloud-native platform: from Ubuntu/OS, BMC/bare-metal, DPU architecture, and NVAIE (GPU/Network/DCGM) through compute, Kubernetes and scheduling, cluster fabric and networking, multi-tenancy, and distributed compute - delivering foundational capabilities (Infrastructure Management, Kubernetes & Scheduling, Cluster Fabric Management) as a provisioned, patched, production-ready substrate for Agentic AI workflows and downstream runtime, data, and execution services.\n Stand up and operate EY Agentic AI environments: across cloud (EKS/AKS/GKE), on-prem AI Factory (RKE2/NVAIE), edge (K3s), client-managed, and air-gapped deployment modes, maintaining one consistent stack contract across all targets and keeping the substrate modular and swappable so components can be replaced without rewriting consumers or creating vendor lock-in.\n Own secure execution, inference, and routing: Ray Serve, vLLM/NIM/Triton, and NVIDIA Dynamo, with sandboxed execution (NVIDIA OpenShell) for isolated, safe model execution; and Envoy AI Gateway, semantic routing (vLLM-SR), model and prompt selection, and streaming response handling - directing each request to the right model under the right constraints.\n Own operational excellence, resilience, and platform delivery: define SLOs, on-call and incident management practices, and lead post-incident reviews; own backup, disaster recovery, and cross-environment replication for high availability (Velero, CloudNativePG, Cilium ClusterMesh), patching, security hardening, and supply-chain hygiene; and partner with DevOps Engineers on CI/CD/CV (ArgoCD) and infrastructure-as-code / GitOps (Helm/OpenTofu) so environments are reproducible and drift-free.\nOwn GPU capacity, platform economics, and vendor selection: forecast demand, set quotas and cost attribution, and manage the infrastructure budget; evaluate commercial against open-source options, run proofs of concept, manage strategic vendor relationships, and work with procurement on long-lead hardware and licensing, making the commercial case for capacity to senior leadership.\nSkills and attributes for success\nDeep, hands-on expertise in cloud-native platform engineering (Kubernetes, networking, multi-tenancy at scale) and low-level infrastructure and systems engineering (bare-metal, GPU, DPU) - able to go deeper than anyone on the team when required.\nProven ability to lead as a player-coach: balancing personal technical contribution with directing, unblocking, and developing a team of senior engineers.\nJudgment about sequencing and trade-offs: able to identify the minimum that makes a platform genuinely usable, ship it, and defend what can safely wait.\nAdvanced understanding of how compute, networking, storage, and scheduling interact to form a reliable, portable substrate, and the architectural maturity to set standards others build on.\nComfortable operating across cloud, on-prem, edge, client-managed, and air-gapped environments simultaneously, with a portability-first mindset.\nStrong command of AI inference serving, AI gateways, semantic routing, and model and prompt selection under latency and cost constraints.\nA passion for reliability, repeatability, and the reduction of operational toil through automation and infrastructure-as-code, and the ability to instil that culture in a team.\nExecutive presence and strong communication skills, able to explain infrastructure trade-offs, delivery risk, budget, and resourcing needs to engineers, architects, partners, and senior leadership.\nCalm, decisive leadership under pressure, including during production incidents and critical delivery milestones.\nNatural product-ownership orientation toward foundational platforms, measured by the downstream velocity and reliability they enable.\nTo qualify you must have\nBachelor’s or Master’s degree in Computer Science or a related technical field.\n10+ years building or operating enterprise infrastructure, cloud platforms, or large-scale Kubernetes environments, including deep, current hands-on systems depth.\n3+ years leading or directing engineering teams (technical leadership of multiple engineers), while remaining an active hands-on contributor.\nTrack record of owning a platform or infrastructure roadmap and architecture end to end, from requirements and estimation through phased delivery and steady-state operations.\nHands-on expertise with Kubernetes distributions (RKE2, EKS/AKS/GKE, K3s) and full cluster lifecycle management at production scale.\nDeep experience with bare-metal, cloud, hybrid, on-prem, and ideally air-gapped deployment models.\nStrong grounding in cluster networking (Cilium/service mesh/CNI), storage, and multi-tenancy isolation.\nHands-on experience with GPU infrastructure and scheduling (NVAIE/DCGM, GPU operators, virtualization/MIG) and AI inference serving (e.g., vLLM, NIM, Triton, Ray Serve).\nExperience with infrastructure-as-code and GitOps tooling (Terraform/OpenTofu, Helm, ArgoCD, Crossplane).\nExperience with disaster recovery, backup, and cross-environment replication tiered by RPO/RTO.\nProven track record operating production infrastructure under compliance, security, or regulatory constraints, including incident leadership and SLO ownership.\nExperience managing infrastructure budgets, capacity plans, and vendor relationships.\nAbility to work effectively with security, architecture, product, and delivery teams, and to represent and defend technical decisions to senior stakeholders.\nIdeally, you’ll also have\nExperience leading the build of an AI/ML or GPU-intensive platform (GPU virtualization, MIG, AI workload scheduling) from early stage to production.\nExperience with multi-tenant platforms and tenancy isolation at scale (e.g., vCluster).\nFamiliarity with distributed compute and batch orchestration (Kueue, Slurm/Slinky, Ray, OpenMPI).\nExperience with sandboxed and confidential execution technologies (gVisor, Firecracker, confidential computing).\nBackground in platform or SRE leadership roles where success is measured by downstream team velocity, reliability, and portability.\nExposure to regulated delivery environments (financial services, tax, healthcare, risk).\nRelevant certifications (e.g., CKA/CKS, NVIDIA AI Infrastructure, AWS/Azure/GCP professional-level).\nWhat we offer you\nAt EY, we harness our collective strength to empower you to shape your future with confidence through professional growth, personal fulfillment and an inclusive culture. Learn more at ey.com/us/careers.\nWe offer a comprehensive compensation and benefits package where you’ll be rewarded based on your performance and recognized for the value you bring to the business. The base salary range for this job is: \nNew York City, Boston, and Washington DC Metro Areas, Washington State, and Southern California offices - $172,800 to $359,000\nBay Area California offices - $180,000 to $374,000\nAll other offices locations in the US, including Sacramento - $144,000 to $329,100 \n\nIndividual salaries within these ranges are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills and geography. In addition, our Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options.\nUnder our flexible vacation policy, you’ll decide how much vacation time you need based on your own personal circumstances. You’ll also be granted time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well-being.\nAre you ready to shape your future with confidence? Apply today.\nTo make the most of your application experience, please limit yourself to two applications within a six-month period.\nEY accepts applications for this position on an on-going basis.\nFor those living in California, please click here for additional information.\nAt EY, our values set the foundation for how we work and the behaviors we expect of our people. Any misrepresentation or falsification of information or lack of integrity at any point in the recruiting process may result in withdrawal of your candidacy, revocation of an offer or immediate termination of employment.\nEY | Building a better working world\nEY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets.\nEnabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow.\nEY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.\nAll in to shape the future with confidence.\nEY provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, genetic information, national origin, protected veteran status, disability status, or any other legally protected basis, including arrest and conviction records, in accordance with applicable law.\nEY is committed to providing reasonable accommodation to qualified individuals with...","description_format":"text","description_chars":12488,"description_truncated":true,"requirements":{"experience_years_min":3,"management_years_min":3,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["Flexible vacation policy"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Audit & Assurance Firms","Financial Advisory, Valuation & Restructuring","Management Consulting","Tax Advisory & Preparation"],"lifecycle":[{"event":"open","at":"2026-10-13T19:08:14Z"}],"visa":[{"country":"US","licensed_sponsor":true,"evidence":"H-1B filings in 12 months: 6,599 · green card filings: 694","filings_12m":6599,"filings_prev_12m":9468,"green_card_filings_12m":694,"median_offered_wage_usd":156073,"route":null,"cap_exempt":false,"checked_at":"2026-10-15T11:24:14+00:00","sources":["US Department of Labor: LCA disclosure data (H-1B, H-1B1, E-3)","US Department of Labor: PERM disclosure data (green cards)"],"filings_for_role_12m":894}],"liveness":{"score":90,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.903,"p_room":1,"age_days":3,"expected_fill_days":20,"reasons":["conf:1","velocity","win:early","comp:brand"],"computed_at":"2026-10-17T05:46:00Z"},"pay":{"stated_usd_annual":359000,"is_top_pay":true},"html_url":"https://alion.io/job/ey-ai-platform-engineering-lead-senior-manager","json_url":"https://alion.io/job/ey-ai-platform-engineering-lead-senior-manager.json","meta":{"generated_at":"2026-10-18T10:15:20Z","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":15309,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-19T00:00:00Z"}},"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":2859},"rest":"https://alion.io/mcp/rest/get_company?id=2859"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fey-ai-platform-engineering-lead-senior-manager"},{"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%2Fey-ai-platform-engineering-lead-senior-manager"},{"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%2Fey-ai-platform-engineering-lead-senior-manager"},{"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/ey-ai-platform-engineering-lead-senior-manager\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fey-ai-platform-engineering-lead-senior-manager"}]}