Senior AI Engineering Lead , Asset Wealth Management Private Bank - Vice President

What you'll do

• Designs and implements ML- and LLM-powered solutions, data pipelines, and model inference services.
• Develops, productionizes, and deploys scalable AI models and platforms to public cloud infrastructure.
• Collaborates with firmwide AI/ML teams and business and product partners to align capabilities and deliver solutions.

What they ask for

• MS in Computer Science, Statistics, Mathematics, or Machine Learning.
• At least 7 years of development experience, including at least 4 years working on AI solutions.
• Experience using LLMs to solve business problems, including tracing, evaluations, and guardrails; strong Python programming skills and knowledge of machine learning, data mining, information retrieval, and statistics.
• Ability to design end-to-end solutions with attention to architecture, scalability, and security; knowledge of SQL and NoSQL data management and real-time processing.

Nice to have

• Financial-domain experience in Asset and Wealth Management, Brokerage, or Investment Banking; LLM fine-tuning or small language model inference.
• Full-stack development with modern JavaScript and TypeScript frameworks, Go or Rust, or expertise in AWS, Azure, or Kubernetes.

Pay

$171,000.00-$260,000.00 USD base salary

Tools

Python, OpenAI, Anthropic, Postgres, OpenSearch, Redis, AWS, Azure

AI focus

Hands-on AI/ML and LLM engineering, including model development, workflow tooling, productionization, and deployment.