Lead Software Engineer - AI

Join our technology team and help drive the future of AI-powered automation and IoT at JPMorganChase. You will lead high-impact initiatives that transform business processes across Workplace, Smart Building, and connected device ecosystems. As a Lead Software Engineer, you’ll build modern full-stack solutions, collaborate with talented engineers and product partners, and shape technical direction in a dynamic environment where innovation and ownership are valued.

As a Lead Software Engineer in our Automation & AI Solutions team, you will architect, design, and deliver scalable software products that combine cloud-native microservices, IoT integrations, and generative AI/LLM capabilities. You will own key technical decisions, drive engineering best practices, and ensure solutions are secure, reliable, and production-ready.

Job responsibilities

• Design and develop creative full-stack software solutions using innovative approaches.
• Lead the creation and implementation of AI-driven capabilities, including LLM-based services, orchestration, and integrations into business workflows.
• Build and evolve IoT platform integrations (device telemetry, commands, events, device onboarding/management) for Smart Building and Workplace systems.
• Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team.
• Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation.
• Architect and deliver cloud-native microservices and APIs (REST/streaming), ensuring scalability, resilience, and strong security controls.
• Write secure, high-quality production code; review, mentor, and unblock other engineers through code reviews and technical leadership.
• Identify and automate solutions for recurring operational issues to improve system stability and observability (logs/metrics/tracing).
• Communicate project status clearly and manage priorities across multiple initiatives.
• Collaborate within a Scrum team, participate in Agile ceremonies, and support a culture of diversity, equity, and inclusion.
• Lead complex projects supporting system design and operational stability, specifically in Workplace, IoT, and Smart Building systems.

 

Required qualifications, capabilities, and skills

• Formal training or certification in software engineering with 6+ years of professional experience.
• Strong system design, application development, and operational stability skills in production environments.
• Advanced Java proficiency (primary), plus working knowledge of Python (for AI/ML integrations) a plus.
• Hands-on experience with Large Language Models (LLMs) and generative AI use cases (e.g., RAG, agents, prompt/tool orchestration, evaluation/guardrails).
• Familiarity with AI/ML frameworks and ecosystems such as PyTorch, TensorFlow, scikit-learn, Hugging Face.
• Experience with distributed systems and at least one major cloud platform (AWS, GCP, or Azure).
• Expertise in microservices, RESTful APIs, and data technologies (relational and/or NoSQL).
• Familiarity with Docker, Kubernetes, Helm, and modern CI/CD practices.
• Strong communication skills and a proactive approach to continuous improvement.
• Deep understanding of IoT architectures, protocols, device management patterns, and security best practices.
• Experience integrating IoT solutions within smart building systems / property management platforms, including cloud integration and edge computing patterns.
• Demonstrated experience leading effective use of approved AI-assisted software development tools (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 engineers on safe, compliant adoption within delivery practices
• Track record delivering scalable, reliable, and secure products from concept to launch.

 

Preferred qualifications, capabilities, and skills

• Cloud certification in AWS, GCP, or Azure.
• Practical experience building cloud-native systems (event-driven architectures, streaming, service mesh, etc.).
• Familiarity with Spark, distributed computing, and platforms such as Databricks.

About UsJ.P. Morgan is a global leader in financial services, providing strategic advice and products to the world’s most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives.
About the TeamOur Corporate Technology team relies on smart, driven people like you to develop applications and provide tech support for all our corporate functions across our network. Your efforts will touch lives all over the financial spectrum and across all our divisions: Global Finance, Corporate Treasury, Risk Management, Human Resources, Compliance, Legal, and within the Corporate Administrative Office. You’ll be part of a team specifically built to meet and exceed our evolving technology needs, as well as our technology controls agenda.