Senior AI Application Engineer - Vice President

Job Responsibilities

Collaborate with firmwide AI/ML teams, Business and Product Partners, peers in geographically dispersed teams, and colleagues across JPMorgan AWM's lines of business and functions to drive alignment, accelerate adoption of common AI capabilities, and deliver impactful solutions
Hands-on architecture and implementation of lighthouse ML and LLM-powered solutions
Design and implement highly scalable and reliable data processing pipelines and deploy model inference services
Experiment, develop, and productionize high-quality machine learning models, services, and platforms to make a huge technology and business impact
Deploy solutions into public cloud infrastructure

Required Qualifications, Capabilities, And Skills

• MS in Computer Science, Statistics, Mathematics, or Machine Learning and minimum 7 years of development experience, with at least 4 years working on AI solutions.
• Experience in using LLMs (OpenAI, Anthropic, or other models) to solve business problems, including full workflow toolset such as tracing, evaluations, and guardrails; Must have strong programming skills in Python and deep knowledge in Data Structures, Algorithms, Machine Learning, Data Mining, Information Retrieval, and Statistics.
• Demonstrated ability to perform independent end-to-end solution design, with attention on modern architecture, scalability and security.
• Knowledge of data management, including data model design, as well as real-time data processing on both SQL (such as Postgres) and NoSQL stores (such as OpenSearch and Redis).
• Proven leadership capacity, including new AI/ML idea generation and GenAI-based solutions and excellent communication skills and ability to communicate with senior technical and business partners.

Preferred Qualifications, Capabilities, And Skills

• Experience working in the financial domain with a large financial institution in Asset and Wealth Management, Brokerage, or Investment Banking will be an added advantage.
• Understanding of LLM fine-tuning and small language model inference is a plus.
• Ability to develop full-stack products, utilizing modern JavaScript and TypeScript frameworks, such as Next.js and Svelte.
• Knowledge of other high-performance languages, such as Go or Rust.
• Expert knowledge of one of the cloud computing platforms preferred: Amazon Web Services (AWS), Azure, Kubernetes.