Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
Пожаловаться
Зарплата и рынок
$140к-233к/год
$190к$220кмедиана$250к
По похожим ролям (49) ~ $220к/год
На СНГ рынке: $4.2к/мес ($3.6к - $5.6к)
89
Крутая вакансия
развернуть
Чётко очерченная роль архитектора корпоративного ИИ в крупном банке даёт заметное влияние на стратегию и работу с современными платформами, хотя регулирование добавляет существенную сложность.
Кликните для подробной информации
Влияние на стратегиюСовременные AI-технологииВысокая цена ошибокПоездки в офис
Оценка от Hirify AI
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Подключить Plus
Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Enterprise Architect, AI & Intelligent Platforms (AI/Generative AI): Defining enterprise architecture, governance, and reusable platforms for AI, agentic systems, and intelligent enterprise capabilities with an accent on Azure AI, Microsoft Copilot, RAG, security, privacy, and regulatory controls. Focus on designing target-state architectures, multi-agent and enterprise-context patterns, model lifecycle governance, and risk controls for production AI adoption in a regulated financial environment.
Location: Hybrid; on-site presence at the Seneca One Tech Hub in Buffalo, NY, one week per month. Periodic business travel is required.
Salary: $139,700.00–$232,900.00 annual (USD).
Company
M&T Bank is a regional financial institution founded in 1856 that invests in technology, data, and processes to improve customer outcomes, resilience, and sustainable growth.
What you will do
Define and maintain target-state enterprise architecture for AI, Generative AI, and agentic systems, including platforms, integrations, data and context services, and operating-model implications.
Establish AI principles, standards, reference architectures, risk tiers, decision frameworks, control overlays, and governance processes.
Translate business strategy into AI-enabled capability, platform, and investment roadmaps that augment, automate, or redesign processes.
Design architecture for Microsoft AI Foundry, Azure OpenAI, Microsoft 365 Copilot, Copilot Studio, Azure AI Search, and approved third-party model providers.
Define patterns for model selection, orchestration, evaluation, prompt management, guardrails, telemetry, cost management, resilience, lifecycle governance, agents, permissions, monitoring, auditability, and human-in-the-loop controls.
Partner with business, data, technology, cybersecurity, risk, privacy, compliance, engineering, and platform teams, communicating architecture and investment tradeoffs to executive governance bodies.
Requirements
Bachelor’s degree and 7 years of relevant work experience, or a combined minimum of 11 years of higher education and/or relevant work experience without a degree.
At least 3 years of hands-on experience with Azure OpenAI Service, Azure AI Studio, Microsoft AI Foundry, or a comparable enterprise AI platform, including production deployments.
Experience designing cloud-based AI architectures using Azure, AWS, or GCP with modern integration, event, identity, and API-management patterns.
Experience integrating AI/ML and LLM capabilities into enterprise systems with production-grade monitoring, scaling, resilience, security, and failover.
Working knowledge of Microsoft 365 Copilot extensibility, Microsoft Graph, connectors, plugins, and Copilot Studio.
Strong understanding of Responsible AI, evaluation methods, data governance, cybersecurity, privacy, model risk, and AI controls in regulated environments.
Ability to influence senior business, technology, risk, and governance stakeholders and communicate complex tradeoffs clearly.
Nice to have
At least 5 years of experience architecting AI/ML or Generative AI solutions in financial services, healthcare, or another highly regulated industry.
Hands-on experience with Microsoft AI Foundry, multi-agent orchestration, evaluation harnesses, guardrails, and reusable accelerator patterns.
Production experience with RAG pipelines, vector databases, embedding models, reranking strategies, grounding, and content-safety controls.
Experience integrating OpenAI, Anthropic Claude, or multi-model architectures with enterprise governance controls.
Practical experience with model risk governance, including Federal Reserve SR 11-7, OCC 2011-12, and related financial-services regulatory expectations.
Certifications such as TOGAF, Microsoft Certified: Azure Solutions Architect Expert, or AI/ML specialty credentials.
Culture & Benefits
Work in a regional financial institution focused on responsible innovation, financial strength, and community banking.
Hybrid work arrangement with scheduled on-site presence in Buffalo, NY.
Professional desk-based role with periodic business travel.
Pay is market-informed, with compensation determined by the candidate’s knowledge, skills, and experience within the stated annual range.
Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →