Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Влиятельная руководящая роль в крупном финтехе с фокусом на GenAI. Понятный скоуп и топовый стек, из минусов - только работа в офисе и отсутствие вилки в описании.
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Описание вакансии
Текст:
Hirify AI/Оригинал
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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