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1 день назад

Engineering Manager (AI)

139 455 - 188 676$
Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
lead
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

Engineering Manager (AI/ML): Leading the development of an enterprise AI/ML platform encompassing classical ML, LLM/RAG, and agentic systems with an accent on scalability, security, and cost-efficiency. Focus on building evaluation and observability for GenAI, automating governance for regulated financial services, and driving platform adoption across delivery teams.

Location: Remote (USA)

Salary: $139,455 – $188,676 per year

Company

hirify.global is a financial services organization committed to helping clients live balanced and generous lives through professional financial guidance.

What you will do

  • Lead the team building an enterprise AI/ML platform using Databricks and AWS (Bedrock, SageMaker).
  • Define and drive the capability roadmap for LLM/RAG and agentic systems in partnership with Product Management.
  • Establish engineering excellence through CI/CD, MLOps, and observability practices.
  • Review solution designs for scalability, security, and compliance within a regulated financial environment.
  • Manage and coach a team of experienced engineers and specialists to foster a healthy engineering culture.
  • Guide build-vs-buy decisions and manage technology vendor and consulting relationships.

Requirements

  • Bachelor's degree in Computer Science or a related technical field.
  • 8+ years of experience in IT, including 3+ years of leadership and supervisory experience.
  • Proven ability to manage multi-discipline, high-performance technical teams.
  • Strong competency in project management and executing large-scale IT projects.
  • Must be based in the US (indicated by US-specific benefits and EEO compliance).

Nice to have

  • Hands-on experience building production ML or LLM systems (RAG, agentic systems, MLOps).
  • Fluency with Databricks (MLflow, Unity Catalog) and AWS (Bedrock, SageMaker).
  • Experience with AI governance and model risk management in financial services.
  • Familiarity with Model Context Protocol (MCP) and multi-agent orchestration.

Culture & Benefits

  • Competitive compensation including annual and long-term incentive bonuses.
  • Comprehensive medical, dental, and vision insurance, including HSA and FSA.
  • Strong retirement support through 401k and pension plans.
  • Generous time off: 20 days PTO, sick leave, and 10 paid company holidays.
  • Additional support including paid parental leave, Volunteer Time Off, and EAP.

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