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 Boston Tech Scene
Boston is a powerhouse for technology innovation thanks to world-class research universities like MIT and Harvard and a robust pipeline of venture capital investment. Host to the first telephone call and one of the first general-purpose computers ever put into use, Boston is now a hub for biotechnology, robotics and artificial intelligence — though it’s also home to several B2B software giants. So it’s no surprise that the city consistently ranks among the greatest startup ecosystems in the world.
Key Facts About Boston Tech
- Number of Tech Workers: 269,000; 9.4% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Thermo Fisher Scientific, Toast, Klaviyo, HubSpot, DraftKings
- Key Industries: Artificial intelligence, biotechnology, robotics, software, aerospace
- Funding Landscape: $15.7 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Summit Partners, Volition Capital, Bain Capital Ventures, MassVentures, Highland Capital Partners
- Research Centers and Universities: MIT, Harvard University, Boston College, Tufts University, Boston University, Northeastern University, Smithsonian Astrophysical Observatory, National Bureau of Economic Research, Broad Institute, Lowell Center for Space Science & Technology, National Emerging Infectious Diseases Laboratories
