AI Architect

• Set the Vision: Define and maintain the company-wide AI architecture blueprint and roadmap to power automation, personalization, analytics, and intelligent decision-making
• Establish Best Practices: Create and maintain AI development standards, model lifecycle processes, and governance frameworks to ensure scalability, fairness, and compliance
• Drive Strategy: Partner with leadership to evaluate emerging AI technologies, frameworks, and vendors — shaping how we leverage everything from LLMs and vector databases to orchestration tools
• Enable Reusability: Architect modular, reusable AI components and services that streamline development across multiple product lines
• Collaborate & Build: Work with cross-functional teams to design secure, cloud-native AI services, APIs, and data pipelines
• Champion Governance: Define AI model observability, auditability, and ethical use standards in partnership with InfoSec and Legal teams
• Innovate & Educate: Lead internal workshops, mentor teams, and serve as an evangelist for AI adoption across the company
• Represent & Inspire: Engage with external AI communities, vendors, and conferences to showcase our innovation and learn from the broader ecosystem

• Bachelor’s degree in Computer Science, Data Science, or related field (Master’s preferred)
• 8+ years in software engineering, architecture, or data science
• 3+ years designing and implementing enterprise-scale AI or ML systems
• Proven experience architecting AI solutions using cloud-native tools (AWS SageMaker, Azure AI, OpenAI API, LangChain, etc.)
• Deep understanding of LLMs, embeddings, model orchestration, reinforcement learning, and multimodal AI
• Strong grasp of AI governance frameworks (NIST AI RMF, GDPR, SOC 2, PCI 4.0)
• Experience building MLOps pipelines and scalable model deployment systems
• Excellent communicator and collaborator who can bridge technical and non-technical teams
• Strategic thinker who balances innovation with practicality
• Lifelong learner passionate about exploring new tools and methodologies

Familiarity with edge AI or real-time inference systems (TensorRT, ONNX, NVIDIA Jetson)

• Flexible paid time off
• Affordable health, dental, and vision insurance options
• Monthly fitness reimbursement
• 401(k) matching
• New-Parent Paid Leave
• Casual work environments
• Remote work