Lead the design of AI/ML architecture, develop scalable GenAI solutions, and provide technical guidance to teams while implementing best practices.
Design end-to-end AI/ML architecture including data ingestion, model training, inference, and monitoring systems • Define technical standards, best practices, and governance frameworks for AI/ML implementations • Architect scalable GenAI solutions including LLM deployments, RAG systems, and multimodal AI applications • Lead architectural reviews and provide technical guidance to development teams • Design integration patterns between AI services and existing enterprise systems • Evaluate and recommend AI/ML technologies, platforms, and vendor solutions • Create technical roadmaps aligned with business objectives and AI strategy • Assess technical feasibility of AI use cases and provide effort estimations • 8+ years of experience in software architecture with 3+ years focused on AI/ML systems • Strong experience with cloud platforms (Azure preferred) and distributed systems architecture • Deep understanding of LLM architectures, transformer models, and generative AI patterns • Experience with MLOps tools and practices (Azure ML, Docker, Kubernetes) • Proficiency in Python and familiarity with AI/ML frameworks (PyTorch, TensorFlow, Hugging Face) • Experience with Azure AI Foundry, LangChain, LangGraph, and Copilot Studio • Strong technical leadership and mentoring capabilities • Experience with microservices architecture, API design, and event-driven systems
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What you need to know about the Seattle Tech Scene
Home to tech titans like Microsoft and Amazon, Seattle punches far above its weight in innovation. But its surrounding mountains, sprinkled with world-famous hiking trails and climbing routes, make the city a destination for outdoorsy types as well. Established as a logging town before shifting to shipbuilding and logistics, the Emerald City is now known for its contributions to aerospace, software, biotech and cloud computing. And its status as a thriving tech ecosystem is attracting out-of-town companies looking to establish new tech and engineering hubs.
Key Facts About Seattle Tech
- Number of Tech Workers: 287,000; 13% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Amazon, Microsoft, Meta, Google
- Key Industries: Artificial intelligence, cloud computing, software, biotechnology, game development
- Funding Landscape: $3.1 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Madrona, Fuse, Tola, Maveron
- Research Centers and Universities: University of Washington, Seattle University, Seattle Pacific University, Allen Institute for Brain Science, Bill & Melinda Gates Foundation, Seattle Children’s Research Institute
