Senior Lead Software Engineer - Python/AWS/AI/LLM

JPMorganChase; Jersey City (NJ); On-site; USD 150,000 - 200,000; Full time

Job summary

JPMorgan Chase is hiring a Senior Lead Software Engineer in Jersey City to push the envelope in Python, AWS, and AI/LLM-enabled technology. You will work on scalable data pipelines and model inference services within an agile team, delivering secure, reliable market-leading software solutions.

You will lead technical design, code reviews, and cross-functional collaboration with AI/ML teams, product partners, and security stakeholders to ensure robust, scalable results in a cloud environment.

Qualifications

• Formal training or certification in software engineering concepts and 5+ years of applied experience.
• Experience leading the use of enterprise AI-assisted software development tools with the ability to set team expectations for validating AI outputs.
• Strong knowledge of responsible AI use in engineering workflows, security and resiliency standards.

Responsibilities

• Provides technical guidance to business and technical teams, contractors, and vendors.
• Develops secure, high-quality production code and reviews code written by others.
• Drives decisions influencing product design, application functionality, and operations.
• Serves as a function-wide subject matter expert in one or more focus areas.
• Contributes to engineering community with firm-wide SDLC frameworks and practices.
• Collaborates with AI/ML teams and product partners to drive alignment and AI adoption.
• Hands-on architecture and implementation of lighthouse ML/LLM-powered solutions.
• Designs and deploys scalable data pipelines and model inference services.
• Experiment, productionize ML models and deploy to public cloud.
• Promotes AI-assisted engineering practices to improve code quality, testing, and release readiness.
• Uses SDLC toolchain and AI-assisted development capabilities to boost automation.

Skills

Python

AWS

AI/ML

LLMs

Cloud

Data pipelines

Job description

Job Description

Be an integral part of an agile team that's constantly pushing the envelope to enhance, build, and deliver top‑notch technology products. As a Senior Lead Software Engineer - Python/AWS/AI/LLM at JPMorgan Chase within the Asset Wealth Management 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. Drive significant business impact through your capabilities and contributions, and apply deep technical expertise and problem‑solving methodologies to tackle a diverse array of challenges that span multiple technologies and applications.

Job Responsibilities

• Regularly provides technical guidance and direction to support the business and its technical teams, contractors, and vendors.
• Develops secure and high‑quality production code and reviews and debugs code written by others.
• Drives decisions that influence product design, application functionality, and technical operations and processes.
• Serves as a function‑wide subject matter expert in one or more areas of focus.
• Actively contributes to the engineering community as an advocate of firm‑wide frameworks, tools, and practices of the Software Development Life Cycle.
• Collaborates with firm‑wide AI/ML teams, Business and Product Partners, peers in geographically dispersed teams, and colleagues across JPMorgan AWM’s lines of business and functions to drive alignment, accelerate adoption of common AI capabilities, and deliver impactful solutions.
• Hands‑on architecture and implementation of lighthouse ML and LLM‑powered solutions.
• Design and implement highly scalable and reliable data processing pipelines and deploy model inference services.
• Experiment, develop, and productionize high‑quality machine‑learning models, services, and platforms to make a huge technology and business impact; deploy solutions into public cloud infrastructure.
• 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) and promoting reuse of proven patterns and automation within the SDLC/TLM toolchain.
• 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.

Required Qualifications, Capabilities, and Skills

• Formal training or certification on software engineering concepts and 5+ years applied experience.
• 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.
• Advanced proficiency in one or more programming language(s).
• Advanced knowledge of software applications and technical processes with considerable in‑depth knowledge in one or more technical disciplines (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) Experience in using LLMs (OpenAI, Anthropic, or other models) to solve business problems, including full workflow toolset such as tracing, evaluations, and guardrails.
• Must have strong programming skills in Python; deep knowledge in Data Structures, Algorithms, Machine Learning, Data Mining, Information Retrieval, and Statistics.
• Demonstrated ability to perform independent end‑to‑end solution design, with attention on modern architecture, scalability and security.
• Expert knowledge of AWS cloud computing platforms.
• Knowledge of data management, including data model design, as well as real‑time data processing on both SQL (such as Postgres) and NoSQL stores (such as OpenSearch and Redis).
• Proven leadership capacity, including new AI/ML idea generation and GenAI‑based solutions; excellent communication skills and ability to communicate with senior technical and business partners.

Preferred Qualifications, Capabilities, and Skills

• Expert knowledge of one of the cloud computing platforms preferred: Amazon Web Services (AWS), Azure, Kubernetes.
• Emerging technologies.

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.