Role: Senior AI Technical Lead
Location: Seattle or Bay Area
Type: Fulltime
Join our dynamic team as a Senior AI Technical Lead and play a vital role in shaping the future of generative AI solutions. You will leverage cutting-edge technologies and frameworks to drive innovation in AI deployment across major cloud platforms, including Google Cloud Platform (GCP), Microsoft Azure, and Amazon Web Services (AWS).
• Generate transformative AI models with expertise in Generative AI (Gen AI) and Agentic AI.
• Utilize your proficiency in model selection, evaluation, and interpretability with tools like TensorFlow, PyTorch, and Hugging Face, covering NLP, computer vision, and time-series modeling.
• Contribute to the strategic planning of AI architecture and roadmaps.
• Demonstrate programming excellence in Python, R, and TypeScript.
• Work with advanced AI frameworks, including LangChain, AutoGen, Azure AI Foundry, and Google ADK.
• Implement cutting-edge protocols such as the Model Context Protocol (MCP) and Agent to Agent Protocol.
• Understand and advocate for AI ethics and regulatory compliance, including GuardRails for secure deployments.
• Expertly engineer prompts and manage LLM operations.
• Engage in model distillation, retrieval-augmented generation (RAG), and fine-tuning techniques.
• Explore multi-modal AI and large language models (LLMs) with proficiency in vector databases and embeddings.
• Utilize deployment tools such as Docker and Kubernetes.
• Facilitate AI solution assessment and optimization.
• Manage ETL processes, data pipelines, and feature stores using tools like Airflow, dbt, and Azure ML pipelines.
• Ensure robust CI/CD for ML implementations, focusing on automated model retraining and monitoring efforts.
• Prioritize data privacy and security, particularly for regulated industries (e.g., GDPR, SOX, HIPAA).
• Preferred certifications include AI/ML, cloud architecture, and relevant technologies such as GCP GenAI Leader and AWS AI Practitioner.
Roles & Responsibilities:
• Lead the design, implementation, and management of advanced generative AI solutions, ensuring alignment with organizational goals.
• Strategize and outline AI project roadmaps to guide development efforts.
• Oversee architectural design and technical frameworks.
• Conduct assessments to optimize AI models and integration with cloud platforms.
• Manage MLOps and DevOps practices alongside governance for AI initiatives.
• Foster collaboration and leadership within cross-functional teams to drive innovation and success.
