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Job Description
📋 Description
- Define and advance AI engineering strategy, architecture, and roadmaps.
- Architect and build secure, scalable AI platforms and tools for enterprise adoption.
- Lead production-grade AI solutions from ideation to retirement.
- Integrate AI platforms with AWS and enterprise environments.
- Establish practices for testing, release management, observability, and operational support.
- Apply risk-based approaches to compliance, data integrity, privacy, and responsible AI.
🎯 Requirements
- Bachelor’s degree with 9 years’ experience, Master’s with 8, or PhD with 4 in Computer
- Experience designing, deploying, and operating production-scale AI/ML systems.
- Strong AI/platform engineering experience with scalable platforms and reusable components.
- Experience with AWS systems/services and production-grade software/ cloud engineering practices.
- Experience in regulated environments (pharma/healthcare) and full solution lifecycle.
- Strong stakeholder management and communication with senior leaders and technical teams.
🎁 Benefits
- Comprehensive benefits package including PTO, medical/dental/vision, and 401(k).
- Eligible to participate in long-term incentive programs.
- Equal opportunity employer with commitment to integrity and innovation.
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