Senior Lead AI Platform Engineer – Foundation Services

Next Frontier Capital; McLean (VA); On-site; USD 150,000 - 190,000; Full time

Job summary

JPMorganChase’s Chief Data & Analytics team seeks a Senior Lead Software Engineer to design and deliver secure, cloud-native AI foundation services at enterprise scale from Jersey City. You will drive hands-on engineering and integration across AI/ML platforms, ensure production readiness, and collaborate with cross-functional teams to enable scalable, observable, and secure deployments.

You will mentor engineers, shape non-functional requirements, and foster responsible AI practices while

Qualifications

• Formal training or certification on 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.
• Practical experience with AI/ML platform capabilities, model serving, model hosting, data access patterns, platform integrations, or infrastructure services supporting AI/ML workloads.
• Experience developing cloud-native applications or platform services using Kubernetes, containers, CI/CD, infrastructure-as-code, and modern engineering practices.
• Proficiency in one or more programming languages such as Python, Java, Go, or similar, with demonstrated ability to deliver high-quality production code.
• Experience translating business or application team requirements into technical designs, implementation tasks, delivery milestones, and operational support plans.
• Working knowledge of performance engineering and production reliability practices, including load testing, capacity planning, monitoring, alerting, SLOs/SLIs, incident response, and root-cause analysis.
• Experience applying secure-by-design engineering practices, including access controls, secrets management, vulnerability remediation, and secure handling of sensitive data.
• Demonstrated experience leading effective use of enterprise-authorized AI-assisted software development tools within the work environment with the ability to set team expectations for validating AI outputs for correctness, performance, and security.
• Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations.

Responsibilities

• Designs, builds, integrates, and optimizes AI Foundation Services infrastructure components for GenAI and traditional AI/ML platforms, with a focus on production-quality delivery and hands-on engineering execution.
• Partners with Lines of Business (LOB) application teams to co-develop reusable AI/ML foundational service capabilities, managed service integrations, and platform adoption patterns.
• Translates Line of Business (LOB) application requirements into clear technical designs, implementation plans, and engineering deliverables that support successful launch and early operational readiness.
• Helps de-risk AI/ML platform delivery across performance, scale, reliability, and security by contributing to non-functional requirements, test plans, runbooks, observability, and production readiness reviews.
• Builds reusable engineering assets such as reference implementations, deployment templates, test harnesses, onboarding guides, and GPU/training/serving baselines for model hosting platforms.
• Drives adoption and governance of approved AI-assisted engineering practices across teams to improve code quality, delivery speed, and operational outcomes, while establishing measurable validation standards.
• Applies knowledge of tools within the Software Development Life Cycle toolchain to improve automation at scale.
• Implements durable, maintainable code solutions and production platform capabilities that can be reused by multiple teams and extended by other engineers.
• Collaborates with product, platform, security, infrastructure, and application teams to resolve complex technical issues and deliver AI Foundation Services capabilities aligned to business priorities.
• Participates in technical design reviews, operational readiness reviews, incident analysis, and continuous improvement activities to improve service reliability, scalability, and developer experience.

Skills

Kubernetes

CI/CD

IaC

Python

Java

Go

AI/ML

Security

Observability

Leadership

Tools

Docker

TensorFlow

Kubeflow

Job description

JPMorganChase’s Chief Data & Analytics team seeks a Senior Lead Software Engineer to design and deliver secure, cloud-native AI foundation services at enterprise scale from Jersey City. You will drive hands-on engineering and integration across AI/ML platforms, ensure production readiness, and collaborate with cross-functional teams to enable scalable, observable, and secure deployments.

You will mentor engineers, shape non-functional requirements, and foster responsible AI practices while