Principal AI Engineer

Salary: $60,000 - 100,000 per year Requirements:

• Bachelors degree plus 9 years of experience, masters degree plus 8 years, or PhD plus 4 years in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Engineering, or a related technical field.
• Proven background designing, deploying, and operating production-scale AI and machine learning systems.
• Strong experience in AI and platform engineering, including scalable platforms, reusable components, and production-ready AI solutions.
• Proven experience designing, building, deploying, and supporting solutions on AWS systems and services.
• Strong software and cloud engineering practices, including secure design, automated testing, CI/CD, containerization, monitoring, and operational support.
• Experience working in a regulated environment, preferably pharmaceutical, biotechnology, healthcare, medical device, or life sciences.
• Experience supporting the full solution lifecycle, from feasibility and design through development, testing, validation, deployment, and ongoing operations.
• Strong understanding of risk management, validation, change control, data integrity, cybersecurity, privacy, documentation, and quality requirements.
• Proven ability to manage complex stakeholders, influence technical and business decisions, and collaborate across organizational boundaries.
• Excellent communication skills with senior leaders, technical teams, scientific experts, business partners, and external collaborators.
• Demonstrated innovation and mentoring experience, including improving engineering practices and delivering measurable impact.
• Preferred: experience with enterprise AI governance, responsible AI, model validation, human oversight, and AI lifecycle management.
• Preferred: experience with MLOps and production engineering, including model evaluation, APIs, microservices, CI/CD, observability, and infrastructure as code.
• Preferred: open-source contributions or technical thought leadership through publications, patents, or industry working groups.
• Preferred: experience leading cross-functional product development from feasibility through validation and production implementation.
• Preferred: enterprise AI or platform experience, including AWS architecture, governance, security, and integration with enterprise environments.

• Define and advance our AI engineering strategy, architecture, standards, and roadmaps in line with our business and technology goals.
• Architect and build secure, scalable, reusable AI platforms, services, developer tools, and components that enable enterprise adoption.
• Lead production-grade AI solutions from ideation and prototyping through development, testing, validation, deployment, monitoring, continuous improvement, and retirement.
• Integrate AI platforms with AWS services and our enterprise data, software, security, identity, and infrastructure environments.
• Establish practices for evaluation, testing, versioning, release management, observability, performance monitoring, incident response, and operational support.
• Apply risk-based approaches to compliance, GxP, data integrity, privacy, cybersecurity, documentation, traceability, human oversight, and responsible AI.
• Partner with Quality, Regulatory, Legal, Privacy, Information Security, scientific, technical, and business stakeholders to deliver fit-for-purpose solutions.
• Serve as a trusted technical advisor, build alignment, influence decisions without direct authority, and communicate complex tradeoffs and recommendations to both technical and non-technical audiences.
• Evaluate emerging technologies, lead innovation and proof-of-concept efforts, and guide promising solutions into sustainable production capabilities.
• Mentor engineers, strengthen engineering maturity, promote knowledge sharing, and represent us in relevant technical communities and partner engagements.

• AI
• AWS
• Architect
• CI/CD
• Cloud
• Support
• Machine Learning
• MLOps
• Security
• microservices
• LESS

More:

AbbVie is focused on discovering and delivering innovative medicines and solutions that address serious health issues today and the medical challenges of tomorrow. We work across key therapeutic areas including immunology, oncology, and neuroscience, as well as our Allergan Aesthetics portfolio. This Principal AI Engineer II role is a technical leadership position that helps shape and scale artificial intelligence across the enterprise, with responsibility spanning data, solutions, business, and technology environments and aligning them with our enterprise architecture. We offer a comprehensive benefits package that includes paid time off, medical, dental, and vision insurance, and 401(k) for eligible employees, along with participation in long-term incentive programs where applicable. AbbVie is an equal opportunity employer committed to integrity, innovation, and community.

last updated 36 week of 2026