Назад
Company hidden
18 часов назад

Senior Engineer, AI

96 500 - 183 500$
Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
c1
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Senior Engineer, AI (Machine Learning/Generative AI): Designing and deploying secure, scalable AI and machine learning solutions for financial applications with an accent on AWS architecture, generative AI, agentic AI, and MLOps. Focus on building production data and model pipelines, integrating vector search and orchestration services, establishing CI/CD and observability, and ensuring compliance and auditability.

Location: North Chicago, Illinois, United States

Salary: $96,500–$183,500 per year

Company

hirify.global develops medicines and solutions for serious health issues across immunology, oncology, neuroscience, and aesthetics.

What you will do

  • Design, engineer, and deploy machine learning, generative AI, and agentic AI solutions for financial use cases.
  • Lead technical architecture for secure, scalable, and compliant AI/ML systems.
  • Select and integrate AWS services for data pipelines, model hosting, vector search, orchestration, monitoring, and governance.
  • Build data and model pipelines, APIs, integration layers, and production predictive analytics solutions.
  • Establish deployment standards, CI/CD, observability, cost controls, and MLOps practices.
  • Mentor junior engineers and collaborate with technology, finance, risk, compliance, business, affiliate, and vendor stakeholders.

Requirements

  • Bachelor’s degree with 6 years of experience, master’s degree with 5 years, or PhD with no experience requirement.
  • Thorough practical and theoretical knowledge of Python, data science, machine learning, generative AI, and agentic AI.
  • Experience architecting AI solutions in AWS and integrating AWS services for pipelines, hosting, vector search, orchestration, monitoring, and governance.
  • Experience developing robust data/model pipelines, APIs, integration layers, and MLOps processes for training, validation, deployment, and monitoring.
  • Experience establishing deployment standards, CI/CD, and observability using GitHub and AWS.
  • Excellent written and oral English communication skills and strong cross-functional collaboration abilities.

Nice to have

  • AWS certification in architecture or AI.

Culture & Benefits

  • Collaboration with technology, business, risk, compliance, and finance stakeholders.
  • Paid vacation, holidays, and sick leave.
  • Medical, dental, and vision insurance for eligible employees.
  • 401(k) benefits for eligible employees.
  • Eligibility for short-term incentive programs.

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