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Senior Manager, AI Engineering (AI)

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
Senior Manager, AI Engineering (AI): Leading enterprise GenAI and ML engineering teams to deliver production-ready AI products and scalable capabilities for global payments with an accent on business value, responsible AI, and organizational transformation. Focus on shaping AI strategy, scaling software applications and AI-powered products, and translating complex business challenges into secure, compliant solutions.

Location: Alpharetta, Georgia, United States. Candidates must be legally authorized to work for any employer in the United States on a full-time basis.

Company

hirify.global develops payment technology and serves clients through global commerce and financial technology solutions.

What you will do

  • Drive enterprise AI transformation through GenAI and ML solutions that improve decision-making and create measurable business value.
  • Lead engineering teams delivering production-ready AI products and capabilities.
  • Shape AI investment priorities, evaluate emerging technologies, and turn complex business challenges into scalable solutions.
  • Ensure AI solutions are secure, ethical, compliant, and aligned with business goals.
  • Build collaboration and internal AI communities to increase organizational AI maturity.

Requirements

  • Proven experience leading software engineering teams and delivering enterprise-scale AI, ML, or GenAI solutions.
  • Strong hands-on engineering background building, deploying, and scaling production-ready software and AI-powered products.
  • Ability to translate business strategy into technical execution and measurable results.
  • Strong communication, stakeholder management, and storytelling skills for technical and non-technical audiences.
  • Bachelor’s or Master’s degree in Computer Science, AI, or a related field.
  • Must be legally authorized to work for any employer in the United States; visa sponsorship is not available.

Nice to have

  • Experience with NLP, conversational AI agents, or large language model application frameworks.
  • Knowledge of AWS, GCP, Snowflake, Apache Spark, or Apache Kafka.
  • Experience with CI/CD, automation, data governance, or real-time data processing.

Culture & Benefits

  • Inclusive, collaborative environment with global teams.
  • Learning, development, and on-the-job growth opportunities.
  • Competitive salary and benefits package.
  • Global employee assistance and wellbeing support.
  • Community and charity initiatives, plus recognition programs.

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