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2 дня назад

Principal AI Engineer II

141 500 - 268 500$
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
Principal AI Engineer II (AWS/AI Platform Engineering): Defining AI engineering strategy and building secure, scalable platforms, services, and production-grade AI solutions across AbbVie with an accent on AWS integration, enterprise architecture, and regulated life-sciences environments. Focus on deploying and operating full-lifecycle AI systems, establishing MLOps and observability practices, and addressing validation, privacy, cybersecurity, data integrity, and responsible AI challenges.

Location: North Chicago, Illinois, United States

Salary: $141,500–$268,500 USD annually

Company

hirify.global discovers and delivers medicines and healthcare solutions across immunology, oncology, neuroscience, and aesthetics.

What you will do

  • Define AI engineering strategy, architecture, standards, and roadmaps aligned with business and technology objectives.
  • Architect and build secure, scalable, reusable AI platforms, services, developer tools, and components.
  • Lead AI solutions from prototyping through development, testing, validation, deployment, monitoring, improvement, and retirement.
  • Integrate AI platforms with AWS, enterprise data, software, security, identity, and infrastructure environments.
  • Establish practices for evaluation, versioning, release management, observability, performance monitoring, incident response, and operational support.
  • Partner with regulatory, quality, legal, privacy, security, scientific, technical, and business stakeholders while mentoring engineers and guiding innovation.

Requirements

  • Bachelor’s degree with 9 years of experience, Master’s degree with 8 years, or PhD with 4 years in a relevant technical discipline.
  • Experience designing, deploying, and operating production-scale AI and machine learning systems.
  • Strong AI platform, software, cloud, AWS, secure design, automated testing, CI/CD, containerization, monitoring, and operational support experience.
  • Experience in regulated environments, preferably pharmaceutical, biotechnology, healthcare, medical device, or life sciences.
  • Understanding of risk management, validation, change control, data integrity, cybersecurity, privacy, documentation, and quality requirements.
  • Ability to influence complex technical and business decisions, communicate with senior stakeholders, and mentor engineers.

Nice to have

  • Experience with enterprise AI governance, responsible AI, model validation, human oversight, and AI lifecycle management.
  • MLOps and production engineering experience with model evaluation, APIs, microservices, observability, and infrastructure as code.
  • Open-source contributions, publications, patents, or industry working-group participation.
  • Experience leading cross-functional product development from feasibility through validation and production implementation.

Culture & Benefits

  • Paid vacation, holidays, and sick leave.
  • Medical, dental, and vision insurance for eligible employees.
  • 401(k) benefits for eligible employees.
  • Eligibility to participate in long-term incentive programs.

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