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4 дня назад

Senior Engineering Team Manager (AI)

190 000 - 220 000$
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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TL;DR
Senior AI Engineering Team Manager (AI): Leading the transformation of high-volume portfolio accounting data platforms through cloud modernization, distributed data architecture, and AI-enabled software development with an accent on GenAI workflows, automation, and engineering standards. Focus on building global engineering teams, modernizing legacy systems, and improving delivery capacity, quality, accuracy, and system stability.

Location: On site in Southlake, Texas, United States

Salary: USD $190,000–$220,000 per year, plus bonus or incentive opportunities.

Company

hirify.global is a financial services company transforming technology across the finance industry.

What you will do

  • Lead the transformation of software development, delivery, and scaling across the Portfolio Accounting Data Loads organization.
  • Embed automation, intelligent workflows, and agentic AI across design, development, testing, and operations.
  • Set the vision for high-volume, transaction-driven data platforms, ensuring accuracy, availability, and usability.
  • Drive cloud modernization, distributed data platform strategy, and clear engineering standards.
  • Partner with architecture, product, infrastructure, security, and operations teams on scalable solutions.
  • Build and lead global engineering teams and align capabilities with AI-driven development.

Requirements

  • 7+ years of experience in senior engineering leadership or management roles, including leadership of global teams in hybrid cloud environments.
  • Experience with distributed data platforms, NoSQL and relational databases, including Aerospike, SQL Server, or PostgreSQL.
  • Hands-on experience with hybrid cloud architectures and migrations involving GCP, PCF, or Red Hat OpenShift.
  • Experience with enterprise messaging and event systems such as Kafka or IBM MQ.
  • Practical experience applying GenAI and AI-assisted development tools in engineering workflows.
  • Strong software engineering, transformation leadership, problem-solving, decision-making, and communication skills.

Nice to have

  • Experience with C# and .NET applications in Linux or Windows cloud environments.
  • Experience transforming legacy engineering practices into automated, AI-enabled development approaches.
  • Experience developing AI-capable engineering talent and fostering experimentation and continuous improvement.

Culture & Benefits

  • Regular in-person collaboration supported by a hybrid work and flexibility approach.
  • 401(k) with company match and an employee stock purchase plan.
  • Paid vacation, volunteering time, and a 28-day sabbatical after five years for eligible positions.
  • Paid parental leave, family-building benefits, and health, dental, and vision insurance.
  • Tuition reimbursement and continuous learning opportunities.

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