Lead Software Engineer - AI Platform Reliability

Salary: $61,000 - 101,000 per year Requirements:

• Formal training or certification in software engineering concepts, with at least 5 years of applied experience
• Strong hands-on Python coding experience delivering production-grade services
• Experience leading effective use of approved AI-assisted software development tools, including setting expectations for validating outputs for correctness, performance, and security
• Understanding of responsible AI use in engineering, including data sensitivity, secure handling of inputs and outputs, resilience, and security; ability to coach engineers on safe, compliant adoption
• Practical experience with system design, automated testing, debugging, and production software stability
• Experience implementing observability, logging, metrics, alerts, Service Level Objectives, incident response, and root-cause analysis for production services
• Working knowledge of software development and technical processes, with expertise in one or more areas such as cloud platforms, AI, machine learning platforms, distributed systems, or infrastructure engineering
• Ability to translate technical requirements into executable tasks, manage dependencies, and deliver milestones with product and application teams
• Strong written and verbal communication skills, including explaining technical decisions, trade-offs, issues, and risks to teams and stakeholders
• Preferred: Experience supporting AI/ML or generative AI platforms, including model hosting, inference services, model gateways, managed AI services, or developer-facing infrastructure
• Preferred: Skills managing AI infrastructure on cloud platforms, including deploying, scaling, monitoring, and optimizing machine learning workloads
• Preferred: Experience building reusable platform assets such as templates, reference implementations, SDKs, automated tests, onboarding guides, and deployment patterns
• Preferred: Experience developing generative AI applications or agents, or implementing AI-assisted operations with appropriate guardrails

• Design and implement improvements to the reliability and scalability of AI/ML platforms and applications
• Develop secure, stable, high-quality production code; participate in code reviews, debugging, testing, and defect remediation across AI Foundation Services
• Build and improve reusable platform services, APIs, SDKs, and libraries that standardize how application teams use model hosting, inference, and managed AI/ML services
• Partner with Lines of Business application teams to deliver AI Foundation Services capabilities, from technical design and build through launch and early operational support
• Own and evolve non-functional requirements and tooling for observability, resilience, security controls, infrastructure management, and cost optimization
• Establish and uphold standards and reference architectures for reliability, observability, automation, and operational readiness
• Work with product and platform engineering teams to define and meet service reliability targets for performance, availability, and recoverability
• Take part in on-call rotations, resolve complex production issues, identify systemic gaps, and drive lasting remediation
• Mentor and guide engineers while advancing engineering quality, documentation, and operational rigor

• AI
• Cloud
• Support
• Machine Learning
• Python
• Security
• AI Agents
• Marketing

More:

We are hiring a Lead Software Engineer in our AI/ML Data Platforms organization, joining the Reliability Engineering team to help shape dependable, scalable AI capabilities. JPMorganChase is a long-established financial institution serving consumers, small businesses, and corporate, institutional, and government clients across investment banking, consumer and commercial banking, transaction processing, and asset management. Our Corporate Functions teams support our businesses, clients, customers, and employees. We offer a competitive total rewards package and, for eligible roles, potential incentive compensation, along with benefits that may include health care, wellness services, retirement savings, backup childcare, tuition reimbursement, mental health support, and financial coaching. We value diversity and inclusion, provide equal employment opportunities, and offer reasonable accommodations.

last updated 42 week of 2026