Senior Lead Software Engineer-AI 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

Join JPMorganChase’s Chief Data & Analytics (AIML Data Platforms) team in Jersey City as a Senior Lead Software Engineer building AI foundation services for GenAI and ML at enterprise scale. You’ll lead hands‑on delivery of secure, reliable, cloud‑native platform capabilities (Kubernetes/CI/CD/IaC) and partner with application teams to create reusable integrations, reference implementations, and onboarding assets.

As a Senior Lead Software Engineer at JPMorganChase within the AIML Data Platforms – Chief Data and Analytics team, you are an integral part of an agile team that works to enhance, build, and deliver trusted market‑leading technology products in a secure, stable, and scalable way. In this role you will get to drive significant business impact through your capabilities and contributions and apply your deep technical expertise and problem‑solving methodologies to tackle a diverse array of challenges that span multiple technologies and applications.

Job 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 (e.g., AI‑assisted code review/refactoring, test acceleration, release readiness, incident/root‑cause analysis), while establishing measurable validation standards (secure coding, peer review, automated testing).
• Applies knowledge of tools within the Software Development Life Cycle toolchain, including approved AI‑assisted development and automation capabilities, to improve the value realized by automation at scale.
• Implements durable, maintainable code solutions and production platform capabilities that can be reused by multiple application 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

Required qualifications, capabilities, and skills

• 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 (e.g., for coding, code review, test acceleration, troubleshooting) 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; experience coaching senior engineers/leads on compliant usage patterns and controls.
• Demonstrated ability to collaborate across product, application, infrastructure, and security teams to deliver complex technical outcomes

Preferred qualifications, capabilities, and skills

• Experience building or integrating GPU‑backed model hosting, inference, training, or batch processing platforms
• Experience with LLM and model serving patterns, including routing, autoscaling, model gateways, inference optimization, evaluation workflows, and guardrail integration
• Experience optimizing AI/ML workloads for latency, throughput, reliability, and cost using techniques such as profiling, batching, caching, concurrency tuning, and capacity modeling
• Experience creating reusable developer enablement assets such as golden paths, reference architectures, deployment templates, onboarding playbooks, automated test harnesses, and operational runbooks

JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission‑based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on‑site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. 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. Visit our FAQs for more information about requesting an accommodation.

JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans

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. Be an integral part of an agile team that's constantly pushing the envelope to deliver top‑notch technology products.