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3 дня назад

Head of Forward Deployed Engineering (AI)

139 700 - 232 900$
Формат работы
onsite
Тип работы
fulltime
Грейд
head
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Head of Forward Deployed Engineering (AI) (AI and Generative AI): Leading teams that design, build, and deploy production AI solutions for business units with an accent on LLMs, RAG, AI agents, governance, and enterprise platform alignment. Focus on managing concurrent engagements, translating business needs into scalable architectures, and establishing engineering, security, delivery, and operational standards.

Location: Buffalo, New York, United States of America

Salary: $139,700–$232,900 annual USD

Company

M&T Bank is a financial services organization developing and operating enterprise technology and AI capabilities.

What you will do

  • Lead, mentor, hire, and develop a team of 10–20 Forward Deployed Engineers.
  • Own the technical delivery of concurrent AI engagements across multiple business units.
  • Partner with business and technology stakeholders to identify use cases, define architectures, and deliver production AI solutions.
  • Align business-unit solutions with enterprise AI platforms, architecture standards, governance, security, and risk controls.
  • Drive reuse of centralized AI services, tooling, and engineering components while identifying platform gaps and recurring business needs.
  • Manage staffing, budgets, vendors, reporting, performance management, and strategic engineering priorities.

Requirements

  • At least 11 years of combined higher education and/or work experience, including 4 years in engineering or architecture and 5 years of leadership experience with people management.
  • Experience delivering software, data, machine learning, or AI solutions with business and product stakeholders.
  • Hands-on experience building and deploying production AI applications using LLMs, RAG, AI agents, model APIs, or machine learning models.
  • Strong knowledge of solution architecture, software engineering, application development, production support, testing, code review, CI/CD, and security.
  • Experience managing multiple complex initiatives, geographically distributed teams, competing priorities, and executive communications.
  • Understanding of AI governance, risk management, regulatory requirements, model governance, and responsible AI practices.

Nice to have

  • Bachelor’s degree in Computer Science, Engineering, Data Science, Information Technology, or a related field.
  • Experience leading Forward Deployed Engineering, Solutions Engineering, Professional Services Engineering, or Customer Engineering organizations.
  • Experience delivering AI solutions in financial services, healthcare, insurance, or other highly regulated industries.
  • Experience scaling engineering organizations and working with centralized platform, architecture, governance, or enablement functions.

Culture & Benefits

  • Work supports collaboration, innovation, continuous learning, belonging, and employee development.
  • The role follows enterprise risk, regulatory, audit, internal control, and security standards.
  • Responsibilities include ongoing coaching, succession planning, performance management, and development of engineering talent.

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