AI/ML Architect

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November 5

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NMDP

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Non-profit • Charity • Science

NMDP is a nonprofit organization (formerly Be The Match) that operates the national blood stem cell donor registry and coordinates cell therapy to treat blood cancers and other blood disorders. It recruits and registers donors, matches donors to patients, facilitates transplants, provides patient support and financial assistance, conducts and funds clinical research and trials, and leads advocacy and fundraising to expand access to life‑saving cell therapies.

1001 - 5000 employees

Founded 1987

🤝 Non-profit

🤲 Charity

🔬 Science

📋 Description

• Lead the hands-on architecture, development, and deployment of production-grade AI/ML systems, ensuring scalability, reliability, performance, and cost-efficiency. • Architect traditional ML solutions (e.g., classification, regression, recommendation systems) and advanced GenAI systems including Retrieval-Augmented Generation (RAG) and Agentic AI. • Design and implement cloud-native AI/ML pipelines using cloud platforms. • Evaluate, prototype, and build PoCs regularly to test architectural decisions, validate feasibility, and accelerate solution delivery. • Integrate and deploy multiple LLMs (e.g., from OpenAI, Claude, Gemini, LLaMA, Hugging Face) and vector databases (e.g., Pinecone, Qdrant, pgvector, Milvus, Weaviate). • Create reusable frameworks and solution templates that drive consistency, speed, and quality across AI initiatives. • Ensure all solutions are aligned with responsible AI standards, security best practices, and enterprise governance. • Collaborate with data scientists, ML engineers, software engineers, and enterprise architects to translate business needs into scalable AI solutions. • Provide technical guidance, mentorship, and architectural direction to teams working across the AI/ML lifecycle. • Work in agile teams, contributing hands-on while also shaping backlog priorities and solution design. • Partner cross-functionally to integrate AI into enterprise systems (e.g., Salesforce, Snowflake, Oracle).

🎯 Requirements

• 8+ years of experience in AI/ML engineering or architecture roles. • Bachelor's degree in computer science, Engineering, or a related field (Master’s preferred). • Strong portfolio of real-world deployments in both traditional ML and GenAI. • Hands-on experience designing and building AI/ML solutions from prototype to production. • Strong Python development skills, including frameworks and libraries for ML, GenAI, and software engineering best practices. • Experience with TensorFlow and/or PyTorch for training and deploying models. • Deep understanding of software engineering, including modular design, testing, version control (Git), and CI/CD pipelines. • Proven track record of building and running PoCs to validate architecture and feasibility. • Experience working in agile environments, participating in sprints and cross-functional delivery. • Ability to communicate technical concepts clearly to a wide range of stakeholders. • Eagerness and ability to quickly learn and apply new AI/ML and automation technologies.

🏖️ Benefits

• Competitive salary • Flexible working hours • Professional development budget • Home office setup allowance • Global team events