Назад
Company hidden
7 дней назад

Lead AI Engineer (AI)

131 000 - 165 000$
Формат работы
remote (только USA)/onsite
Тип работы
fulltime
Грейд
lead
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
Для мэтча и отклика нужен Plus

Мэтч & Сопровод

Для мэтча с этой вакансией нужен Plus

Описание вакансии

Текст:
/
TL;DR
Lead AI Engineer (AI): Designing, developing, deploying, and supporting scalable AI applications, automation solutions, digital agents, and enterprise AI platforms with an accent on generative AI, agentic workflows, cloud-native engineering, and responsible delivery. Focus on building end-to-end AI solutions with AWS Bedrock, SageMaker, OpenAI technologies, and LangChain, while improving platform reliability, security, monitoring, and production support.

Location: Cedar Rapids, Iowa; other listed locations include Work From Home, USA, Denver, Colorado, and Philadelphia, Pennsylvania. Office environment; occasional travel of less than 10% and work outside normal business hours may be required.

Salary: $131,000–$165,000 annually.

Company

hirify.global is a financial services company providing insurance, retirement, investment, employee benefits, and related financial solutions as part of Aegon.

What you will do

  • Design, develop, deploy, and support AI applications, automation solutions, digital agents, and generative AI solutions.
  • Develop agentic solutions using established frameworks and cloud technologies.
  • Apply software engineering practices to deliver scalable, secure, reliable, and responsible AI applications and platforms.
  • Support the full AI solution lifecycle from design through production support, including platform operation, monitoring, and continuous improvement.
  • Lead small projects or technical workstreams, collaborate with business, architecture, security, and platform teams, and communicate technical concepts to technical and non-technical audiences.
  • Mentor less experienced engineers through coaching and knowledge sharing.

Requirements

  • Bachelor’s degree in computer science, artificial intelligence, data science, or a related field.
  • Eight years of experience in software engineering, AI engineering, or related disciplines, including two years of end-to-end AI solution design, development, testing, monitoring, and maintenance.
  • Experience designing and developing agentic workflows.
  • Experience delivering AI solutions in cloud environments.
  • Experience with Amazon Web Services AWS Bedrock and AWS SageMaker.
  • Experience with OpenAI technologies, AWS Bedrock Agents, and LangChain.
  • Proficiency in Kubernetes and Docker containerization technologies.
  • Legal authorization to work in the U.S. without immigration sponsorship or an employer of record for immigration employment purposes.

Nice to have

  • Master’s degree in artificial intelligence, data science, or a related field.
  • Experience in the insurance industry or other regulated industries.
  • Experience supporting enterprise AI platforms and cloud-native solutions.
  • Experience applying responsible AI, security, privacy, and governance practices.
  • Professional certifications in artificial intelligence, cloud-native, or relevant developer technologies.

Culture & Benefits

  • Collaborative environment focused on accountability, innovation, inclusion, and continuous improvement.
  • Medical, dental, vision, disability insurance, pension plan, 401(k) match, and employee stock purchase plan.
  • Paid time off starting at 160 hours annually in the first year and ten paid holidays per year.
  • Tuition reimbursement, career training and development, wellness support, parental leave, adoption assistance, and backup care.
  • Employee resource groups, inclusion and diversity programs, volunteer PTO, matching gifts, recognition, and referral bonus programs.

Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →