Manager, AI Solutions

Job Responsibilities

• Own the design and delivery of AI architecture strategies that align technical feasibility with business objectives, from discovery through production deployment
• Lead and mentor a team of AI/ML engineers, architects, and data specialists—setting technical direction, unblocking work, and developing talent
• Partner with product, engineering, and business leadership to identify high-impact AI use cases, scope feasibility, and drive roadmap prioritization
• Build and maintain AI systems architecture—including model pipelines, inference infrastructure, monitoring, and governance frameworks—ensuring scalability and reliability
• Drive adoption of AI best practices across teams: experimentation discipline, model evaluation rigor, responsible AI principles, and MLOps maturity
• Manage technical debt and infrastructure decisions that balance speed-to-market with long-term system health and cost efficiency
• Communicate architecture trade-offs, technical risk, and capability roadmaps to non-technical stakeholders and executive sponsors

Candidate Requirements

• 7+ years of hands-on experience building and shipping AI/ML systems, with 2+ years leading technical teams or owning major architectural decisions
• Deep technical fluency across the modern ML stack: model training and evaluation, feature engineering, inference serving, monitoring, and deployment infrastructure
• Proven ability to scope AI problems, run experiments rigorously, and communicate when and why AI is or isn't the right tool
• Track record of mentoring engineers, building high-performing teams, and influencing technical strategy across functions
• Comfort working in ambiguity, translating business problems into technical requirements, and driving decisions under incomplete information