Senior AI Application Engineer - Vice President
Role details
Job location
Tech stack
Job description
As a Senior AI Application Engineer in our global AI team you will play a lead role as a seasoned member of our global AI team. Your responsibilities will entail hands-on development of high-impact business solutions through data analysis, developing cutting-edge ML and LLM models, and deploying these models to production environments on AWS or Azure., * 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
Requirements
You'll combine your years of proven development expertise with a never-ending quest to create innovative technology through solid engineering practices. Your passion and experience in one or more technology domains will help solve complex business problems to serve our Private Bank clients. As a constant learner and early adopter, you're already embracing leading-edge technologies and methodologies; your example encourages others to follow suit., * 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
Benefits & conditions
We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.