Principal Software Engineer - AI Engineer

Job Description

Principal Software Engineer – AI/ML & Data Platforms for LLM Suite d a specialized technical area, drive impact across teams, technologies, and projects, and spearhead complex ML initiatives. Serve as primary decision‑maker and catalyst for innovation and solution delivery for JPMorgan

Chase’s premier internally built AI tool used by over 250k employees.

• Design and implement agentic AI reference architectures, including orchestration, retrieval, memory, guardrails, and evaluation harnesses.
• Write production‑quality Python code (PyTorch or Tensor Flow) and review critical‑path code.
• Create reusable components for prompt management, evaluators, safety filters, connectors, embeddings pipelines, and memory stores.
• Build and operate LLM‑powered APIs and microservices integrated into advisor, client, and internal workflows.
• Own the end‑to‑end ML lifecycle: experimentation, CI/CD, automated testing, monitoring, drift detection, versioning, and rollback.
• Optimize inference for latency, throughput, caching, batching, model selection, and cost per inference.
• Partner with data teams on structured and unstructured data pipelines, document ingestion, metadata, and access controls.
• Set engineering standards for agentic AI systems and lead design reviews.
• Influence roadmap and priorities through technical insight and delivery.
• Architect and govern agentic AI‑enabled engineering workflows to improve delivery speed, code quality, and operational outcomes at scale, defining guardrails for validation, security, resiliency, and reuse across teams.
• Apply knowledge of tools within the Software Development Life Cycle toolchain to improve automation value at scale.

• Formal training or certification on software engineering concepts and 7+ years applied experience.
• Strong Python engineering skills; experience with PyTorch or Tensor Flow.
• Expertise working with vector storage systems and designing memory for agents.
• Expertise developing long‑running agents that run autonomously with tools, skills, and human in the loop.
• Proven experience deploying LLM‑backed services to production (APIs, microservices).
• Deep MLOps experience, including CI/CD, monitoring, incident response, and model governance.
• Cloud‑native AI deployment experience (AWS or Azure) with cost and performance optimization.
• Demonstrated commitment to responsible AI practices and operational excellence.
• Strong communication and collaboration skills across product, risk, legal, and compliance teams.
• Experience designing and leading adoption of agentic AI‑enabled development practices across teams, setting standards for human‑in‑the‑loop validation, auditability, and secure handling of sensitive data.
• Strong understanding of responsible AI use and control expectations in engineering workflows, including security/resiliency implications and risk‑based governance; ability to influence senior technical leaders on safe scaling patterns and reuse.

• Experience with fine‑tuning, adapters, or custom evaluation frameworks.
• Background operating AI systems in regulated environments (finance, healthcare, etc.).
• Experience with prompt engineering and LLM orchestration.
• Knowledge of safety filters, audit logging, and explainability in production systems.
• Experience mentoring senior engineers and leading architecture discussions.
• Demonstrated ability to influence technical roadmaps and priorities.

This position is subject to Section 19 of the Federal Deposit Insurance Act. As such, an employment offer for this position is contingent on JPMorgan

Chase's review of criminal conviction history, including pretrial diversions or program entries.

JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs.