Vice President, AI Engineer

Responsibilities: Design, build, and operate production-grade AI platform services Own major platform components and workstreams from design to operation Develop reusable APIs, SDKs, services, and developer tooling Contribute to platform architecture, standards, and best practices Partner with AI engineering and architecture leaders on design decisions Write high-quality production code and participate in reviews, testing, and troubleshooting Build and enhance multi-LLM gateway capabilities across providers Develop Retrieval-Augmented Generation services (embeddings, vector search, document processing) Create reference implementations, documentation, and development standards Establish observability, monitoring, and AI FinOps capabilities Integrate AI services with enterprise data products and APIs Lead complex technical initiatives from design through deployment Provide technical guidance and mentorship to AI engineers

Key requirements: 8+ years of professional software/data/ML engineering experience 2+ years building Generative AI, LLM, or AI platform solutions in production Strong Python engineering skills for production-quality software Experience designing APIs, microservices, distributed systems, and cloud-native apps Hands-on experience with a major cloud platform, preferably Azure Experience with containers, Kubernetes, CI/CD, and modern DevOps practices Experience building LLM apps using RAG, embeddings, vector search, prompt engineering, tool use, or agentic workflows Familiarity with model evaluation, observability, and production monitoring for AI systems Understanding of software security, authentication/authorization, secrets management Experience delivering highly scalable, reliable production systems Ability to independently own complex engineering initiatives from design to production Strong communication and cross-functional collaboration skills Leadership and mentorship Stakeholder management Cross-functional collaboration Python production-grade development APIs and microservices design Cloud platforms (Azure preferred)