Principal AI Platform Engineer

Principal AI Platform Engineer

$250,000–$275,000 base + bonus + benefits

New York, New York - 3 days/week hybrid

About the Organization

Join a global financial services company delivering intelligent information and technology solutions to professionals in legal, tax, compliance, and corporate sectors. The team is part of the organization's innovation hub, focused on applying AI, LLM, and data science to create forward-looking tools.

The environment combines the best of both worlds: startup energy with enterprise support. Projects include building agentic systems to automate tax prep and document summarization for legal and financial workflows.

About the Role • You will be responsible for machine learning pipelines, infrastructure, deployment and scalability for the company's B2B agentic AI products for Fortune 500 companies • You will report directly to senior leadership and work closely on technical direction • Own AI infrastructure and quickly build into production, particularly focusing on novel AI and LLM applications • You will implement and design code and build out to production using various machine learning and LLM techniques, owning machine learning workflow operations and distributed systems • Own CI/CD pipelines for MLOps / LLMOps • You will play an integral role of building out the AI team and scaling out its product • Act as a thought leader role for AI across the business, mentoring junior team members

What You’ll Bring • 10+ years of commercial experience preferred with a focus on building and deploying machine learning and LLM models, ideally with AI voice, multi-modal or chatbot systems • Experience working in dynamic environments is highly preferred • Expertise in Python (TensorFlow, PyTorch) for production-grade work • Commercial experience building novel AI platforms with large datasets • History of working with and managing real-time AI applications in production settings • Cloud experience in AWS, Azure or GCP • DevOps experience with CI/CD pipelines required • History of working on models from concept to production / end-to-end / 0-1 • Software engineering background preferred, MLOps experience with MLFlow, Kubeflow or similar • Containerization experience with Docker or Kubernetes • Experience in settings wearing multiple hats • Background in software development for customer-facing AI products preferred • History of partnering with non-technical stakeholders required • Experience owning projects directly preferred • BS or MS degree in Computer Science, Software Engineering, Computer Engineering or similar

HOW TO APPLY

Please register your interest by sending your résumé to Tim Jonas via the Apply link on this page.

KEYWORDS

Machine Learning | AI | Artificial Intelligence | Technology | MLOps | LLMOps | Legal | Financial Services | Deployment | Production | LLMs | LLM | Large Language Models | GenAI | Gen AI | Generative AI | Voice Bots | Chatbots | Natural Language Processing | Infrastructure | Architecture | CI/CD | Continuous Integration | Continuous Deployment | Fortune 500 | Docker | Kubernetes | Weights & Biases | MLFlow | PyTorch | TensorFlow | Publications | Patents