Senior Lead Software Engineer-AI Foundation Services
JPMorgan Chase5 days ago
Base Salary
$176k - $260k/yr
Responsibilities
- Design, build, integrate, and optimize AI foundation infrastructure for GenAI and traditional AI/ML platforms.
- Partner with application teams to develop reusable foundational services, managed-service integrations, and platform adoption patterns.
- Translate application requirements into technical designs, implementation plans, delivery milestones, and operational support plans.
- Contribute to performance, scalability, reliability, security, testing, observability, runbooks, and production-readiness reviews.
- Build reference implementations, deployment templates, test harnesses, onboarding guides, and GPU/model-hosting baselines.
- Drive adoption and governance of enterprise-authorized AI-assisted engineering practices and validation standards.
- Implement maintainable production code and platform capabilities reusable by multiple application teams.
- Collaborate with product, platform, security, infrastructure, and application teams to resolve complex technical issues.
- Participate in design reviews, operational readiness reviews, incident analysis, and continuous improvement.
Requirements
- Formal training or certification in software engineering concepts and 5+ years of applied experience.
- Hands-on experience designing, building, testing, and operating production software systems, distributed services, or platform capabilities.
- Experience with AI/ML platforms, model serving or hosting, data access patterns, platform integrations, or supporting infrastructure services.
- Experience developing cloud-native applications or platform services using Kubernetes, containers, CI/CD, and infrastructure-as-code.
- Proficiency in one or more programming languages such as Python, Java, or Go.
- Knowledge of performance engineering and reliability practices including load testing, capacity planning, monitoring, alerting, SLOs/SLIs, incident response, and root-cause analysis.
- Experience with secure-by-design practices including access controls, secrets management, vulnerability remediation, and sensitive-data handling.
- Experience using enterprise-authorized AI-assisted development tools and validating their outputs for correctness, performance, and security.
- Understanding of responsible AI use in engineering workflows and experience coaching engineers on compliant usage patterns and controls.
- Ability to collaborate across product, application, infrastructure, and security teams.
- Preferred experience with GPU-backed model hosting, inference, training, batch processing, LLM/model serving, routing, autoscaling, model gateways, inference optimization, evaluation workflows, guardrails, and reusable developer enablement assets.
Benefits
- Competitive total rewards and benefits package, with compensation details provided during the hiring process.
- Benefits may include comprehensive health care, on-site health and wellness centers, retirement savings, backup childcare, tuition reimbursement, mental health support, and financial coaching.
- The role is based in Jersey City.
- JPMorganChase provides equal employment opportunity and reasonable accommodations.
Tech Stack
Categories
About JPMorgan Chase
JPMorgan Chase provides consumer and commercial banking, payments, credit card, wealth management, and corporate and investment banking services to individuals, businesses, institutions, and governments. The public company (NYSE: JPM) earns revenue from interest, fees, trading, and asset management across operations in more than 100 markets. Headquartered in New York City with roots dating to 1799, it serves retail customers and prominent corporate and government clients through brands including Chase and J.P. Morgan.