AI Operations Lead
Company:Point Wild
Location:United States
Languages:English
Seniority level:Director, 5+ years
Experience:5+ years
Skills:
AWSDockerGraphQLLeadershipPythonArtificial IntelligenceCloud ComputingData MiningGCPKubernetesMachine LearningMicrosoft AzurePyTorchSoftware ArchitectureAlgorithmsData engineeringData scienceData StructuresTensorflowCI/CDRESTful APIsDevOpsMicroservicesCollaborationProblem SolvingMentoringResearch skills
Requirements:
5+ years experience as a hand on AI architecture leader delivering production-grade AI systems at scale. Experience delivering AI driven software products for a B2B SaaS organization, preferably in the Cybersecurity industry. Deep knowledge of machine learning, LLMs, and AI frameworks (e.g., PyTorch, TensorFlow, LangChain, Hugging Face). Hands-on experience with vector databases, embeddings, graph data structures, and retrieval-augmented generation (RAG). Strong background in multi-cloud AI deployment (AWS, Azure, GCP), containerization, and MLOps. Experience leading and mentoring engineering teams. Strong business acumen and ability to translate business goals into AI-powered use cases. Excellent communicator and collaborator, skilled at leading design sessions and making trade-offs under tight timelines.
Responsibilities:
Own AI Architecture: Define the overarching AI/ML architecture and technical strategy for Lat 61. Team Leadership: Lead, mentor, and grow a team of AI engineers. AI Use Case Delivery: Translate business opportunities into technical designs and working AI solutions. Advanced Data & AI Workflows: Architect systems that leverage vector databases, graph stores, embeddings, and RAG pipelines. Integration with Platform: Partner with Data Architect, Product Owners, and Engineering teams. Governance & Responsible AI: Establish and enforce best practices around AI ethics, model governance, bias monitoring, and secure deployment. External Trends & Standards: Stay ahead of emerging AI trends, frameworks, and tools.
