about 12 hours ago
Base Salary
$146k - $183k/yr
Responsibilities
- Define and deliver enterprise-wide architecture for generative AI and agentic systems aligned to business objectives.
- Design scalable, modular solution patterns and integrate foundation models into enterprise environments.
- Architect and implement agentic AI systems, including workflows, orchestration, and system integrations.
- Establish robust cloud-native infrastructure and MLOps pipelines for deployment, monitoring, and lifecycle management.
- Collaborate across teams, mentor colleagues, and contribute to innovation and thought leadership in AI.
Requirements
- Bachelor’s or Master’s degree in Computer Science, AI/ML, or a related field.
- 10+ years of experience in software architecture, including hands-on work with AI/ML systems.
- Strong expertise in generative AI, foundation models, and agentic AI frameworks.
- Proficiency in Python and experience with leading AI/ML frameworks and cloud platforms (AWS, Azure, or GCP).
- Proven ability to communicate complex technical concepts and influence technical decision-making.
- Willingness to work in the office 3 days a week.
Benefits
- Medical, dental, and vision coverage.
- 401(k) with employer match.
- Paid parental leave and dependent care support.
- Tuition and wellness reimbursement programs.
- Commuter benefits and access to employee discount platforms.
Categories
AI & MLData Science