Principal Software Engineer - AI Engineer

JPMorganChase is seeking a Principal Software Engineer - AI Engineer to lead a high-impact AI/ML engineering program in Jersey City, onsite. This role centers on driving the end-to-end ML lifecycle, architecting agentic AI systems, and delivering scalable, LLM-enabled solutions across advisor, client, and internal workflows. The successful candidate will hire, mentor, and establish engineering standards across teams to elevate delivery at scale.

Responsibilities

• Design and implement agentic AI reference architectures, including orchestration, retrieval, memory, guardrails, and evaluation harnesses.
• Write production-quality Python code (PyTorch or TensorFlow as needed) 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
• Architects and governs agentic AI-enabled engineering workflows (using enterprise-authorized tools within the work environment) to improve delivery speed, code quality, and operational outcomes at scale (e.g., AI-driven PR review assistance, test generation/maintenance, release readiness checks, incident triage and root-cause acceleration), while defining guardrails for validation, security, resiliency, and reuse across teams.
• Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation at scale.

Requirements

• Formal training or certification on software engineering concepts and 7+ years applied experience
• Strong Python engineering skills; experience with PyTorch or TensorFlow
• Expertise working with Vector storage systems and designing memory for Agents
• Expertise developing long running agents that run autonomously using 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, working across product, risk, legal, and compliance teams
• Demonstrated experience designing and leading adoption of agentic AI-enabled development practices (using enterprise-authorized tools within the work environment) across teams, including setting standards for human-in-the-loop validation, auditability/traceability of changes, and secure handling of sensitive data.
• Strong understanding of responsible AI use and control expectations in engineering workflows, including security/resiliency implications, data sensitivity, and risk-based governance; ability to influence senior technical leaders on safe scaling patterns and reuse.

Technologies

• Python
• PyTorch
• TensorFlow
• Vector storage systems

Benefits

• Base salary determined by role, experience, skill set and location
• Commission-based pay and/or discretionary incentive compensation, paid in cash and/or forfeitable equity
• Comprehensive health care coverage
• On-site health and wellness centers
• Retirement savings plan
• Backup childcare
• Tuition reimbursement
• Mental health support
• Financial coaching

Federal Deposit Insurance Act

This position is subject to Section 19 of the Federal Deposit Insurance Act. As such, an employment offer for this position is contingent on JPMorganChase's review of criminal conviction history, including pretrial diversions or program entries.

About the Team

Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.