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1 день назад

Forward Deployed Engineer — AI Solutions (AI)

116 400 - 194 000$
Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Forward Deployed Engineer — AI Solutions (AI): Designing, building, and deploying governed AI solutions embedded within business lines, with an accent on LLM applications, full-stack integration, and stakeholder-driven delivery. Focus on building production systems with RAG, agentic workflows, and tool calling while navigating enterprise governance and driving adoption.

Location: Buffalo, New York, United States of America

Salary: $116,400–$194,000 annual, USD

Company

M&T Bank is a financial services organization developing governed AI solutions for business operations.

What you will do

  • Identify business opportunities and translate stakeholder problems into AI solution designs.
  • Prototype, iterate, and build production-ready applications using LLMs and foundation models.
  • Own use cases end-to-end, from problem definition through governance, production deployment, and adoption.
  • Integrate APIs, data pipelines, model services, front-end components, and business workflows.
  • Navigate risk reviews, compliance processes, and architecture approvals.
  • Document reusable delivery patterns and share them across the AI hub.

Requirements

  • 5+ years of experience in software engineering, applied AI, or solutions engineering, including production software delivery.
  • Associate’s degree plus 7 years of systems analysis or application development experience, or a bachelor’s degree plus 5 years of relevant experience; equivalent education and experience may be accepted.
  • Hands-on experience building production applications with LLMs or foundation models, including prompt engineering, RAG pipelines, agent frameworks, or tool calling.
  • Experience working directly with business stakeholders to discover problems and define technical solutions.
  • Ability to work across the full stack, including API integration, data pipelines, model integration, and front-end or workflow integration.
  • Experience navigating governance, compliance, risk reviews, and architecture approvals.

Nice to have

  • Experience in banking, financial services, or another regulated industry.
  • Experience with agentic AI patterns, multi-step workflows, tool use, and guarded autonomous execution.
  • Familiarity with Azure AI Foundry, Anthropic Claude, Azure APIM, or comparable enterprise AI platforms.
  • Experience mentoring or training others in AI delivery practices.

Culture & Benefits

  • Work is embedded within business lines and connects business strategy, AI innovation, and execution.
  • Delivery emphasizes measurable business impact and reusable implementation patterns.
  • Compensation is market-informed and based on the successful candidate’s knowledge, skills, and experience.

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