2 дня назад
Principal AI Engineer II
141 500 - 268 500$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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
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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