2 дня назад
Principal AI Engineer II (AI)
141 500 - 268 500$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Principal AI Engineer II (AI/AWS): Defining and advancing enterprise AI engineering strategy while architecting, deploying, and scaling production-grade AI platforms and machine learning solutions with an accent on AWS integration, secure cloud engineering, and regulated life sciences environments. Focus on building reusable AI services, establishing lifecycle governance and observability, and solving complex compliance, validation, cybersecurity, and stakeholder alignment challenges.
Location: North Chicago, Illinois, United States
Salary: $141,500–$268,500 per year
Company
develops innovative medicines and solutions for serious health conditions 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 production AI solutions through prototyping, 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.
- Advise cross-functional stakeholders, evaluate emerging technologies, mentor engineers, and guide proof-of-concept solutions into production.
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 and platforms.
- Strong experience with AWS systems and services, secure software and cloud engineering, automated testing, CI/CD, containerization, monitoring, and operational support.
- Experience in regulated environments, preferably pharmaceutical, biotechnology, healthcare, medical device, or life sciences.
- Knowledge 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 technical industry working-group experience.
- Experience leading cross-functional product development from feasibility through validation and production implementation.
Culture & Benefits
- Paid time off, including vacation, holidays, and sick leave.
- Medical, dental, and vision insurance for eligible employees.
- 401(k) benefits for eligible employees.
- Eligibility for long-term incentive programs.
- Equal opportunity employment committed to integrity, innovation, and community impact.
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