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 youll 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.
• 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.
• 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.