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
Top Skills
Azure
Azure Ai Foundry
Copilot Studio
Docker
Hugging Face
Kubernetes
Langchain
Langgraph
Python
PyTorch
TensorFlow
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What you need to know about the NYC Tech Scene
As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.
Key Facts About NYC Tech
- Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
- Key Industries: Artificial intelligence, Fintech
- Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
- Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory
