Position: Regional AI Technical Lead (San Francisco)
Role: Regional AI Technical Lead
Location:
Seattle or Bay Area
Type : Fulltime
• Generative AI (Gen AI), Agentic AI
• Model selection, evaluation, interpretability:
Tensor Flow, PyTorch, Hugging Face, NLP, computer vision, time-series modeling.
• AI Strategy, Architecture, and Roadmap Planning
• Python / R / Type Script Programming
• AI Frameworks (Lang Chain, Auto Gen, Azure AI Foundry, Azure AI Agent, CrewAI, Lang Graph, Google ADK)
• Model Context Protocol (MCP), Agent to Agent Protocol
• N-8-N
• Guard Rails, AI Ethics and Regulations
• Prompt Engineering:
Expertise in prompt engineering, LLM operations, and GenAI deployment best practices.
• Distillation, RAG, Fine-tuning
• Multi-modal AI, LLMs
• Vector Databases, Embeddings
• GenAI deployment tools (Docker, Kubernetes)
• AI Solution Assessment and Optimization
• ETL, Data Pipelines, Feature Stores:
Experience with tools like Airflow, dbt, MLflow, DVC, Azure ML pipelines.
• CI/CD for ML:
Automated model retraining, versioning, and monitoring.
• Data anonymization, privacy-by-design, secure model deployment:
Especially for regulated industries (GDPR, SOX, HIPAA).
• Desirable certifications: AI/ML, cloud architecture, relevant technology (e.g., GCP GenAI Leader, AWS AI Practitioner, Azure AI certifications).
Roles & Responsibilities:
• Regional AI Technical Lead is a strategic technical leader responsible for designing, implementing, and managing advanced generative AI solutions across Google Cloud Platform (GCP), Microsoft Azure, and Amazon Web Services (AWS). This role combines deep expertise in generative AI technologies, multi-cloud architecture, and modern software engineering practices to deliver scalable, secure, and innovative AI solutions. The architect leads cross-functional teams, drives technical vision, and ensures alignment between business objectives and AI initiatives.
• Strategy & Roadmap
• Architecture & Design
• Assessment & Optimization
• Cloud Platform Integration & Management
• MLOps, Dev Ops & Governance
• Leadership & Collaboration
