Director of Software Engineering - Workplace Technology

Join us to shape the future of AI by bridging the physical and digital worlds. You will lead a talented team focused on pioneering phygital AI solutions, leveraging IoT and edge-to-cloud computing. We offer an environment where your vision and leadership can drive impactful change. Your expertise will empower our team to deliver scalable, real-time AI innovations. Experience career growth and make a difference in a collaborative, forward-thinking culture.

As a Director of Software Engineering - Phygital AI Research & Development at JPMorganChase in our innovative Phygital AI R&D Center, you will guide a group of engineers in developing cutting-edge AI solutions that integrate IoT and edge-to-cloud architectures. You will mentor and inspire your team to excel in data interoperability, real-time processing, and scalable analytics. Your role will be pivotal in ensuring seamless convergence between physical and digital systems. You will foster a culture of collaboration, creativity, and continuous learning. Together, we will overcome technical challenges and deliver impactful phygital AI advancements.

Job Responsibilities:

• Develops strategic roadmaps for phygital AI leveraging IoT sensors, edge computing, and cloud infrastructure
• Mentors and upskill engineers in IoT data interoperability, edge-to-cloud workflows, and AI model deployment
• Implements governance for IoT-generated data streams, applying FAIR principles for findability and reusability
• Addresses cybersecurity and scalability challenges across edge devices and cloud platforms
• Drives R&D from IoT pilots to production-scale phygital solutions, ensuring interoperability and advanced analytics integration
• Architects resilient edge-to-cloud pipelines supporting phygital innovation
• Fosters a collaborative and inclusive team environment focused on continuous learning
• Translates IoT and edge-cloud complexities into business value for cross-functional teams
• Champions innovation and overcome barriers to scaling IoT deployments
• Ensures data lifecycle management from generation to cloud-based analysis
• Leads efforts to integrate AI/ML with IoT ecosystems for real-time and scalable analytics

Required Qualifications, Capabilities, and Skills:

• Formal training or certification on AI/IoT R&D concepts and expert applied experience. In addition, advanced experience leading technologists to manage, anticipate and solve complex technical items within your domain of expertise 

• Experienced leading teams in edge-to-cloud deployments for phygital or Industry 4.0 applications.

• Leadership & People Management - Transformational leadership with experience upskilling teams in emerging technologies like IoT and edge computing.

• Proven track record in deploying IoT solutions for operations optimization, predictive maintenance, and real-time monitoring, including sensor integration and data interoperability across fragmented stacks.

• Edge-to-Cloud Compute Proficiency: Deep hands-on knowledge of edge computing for low-latency AI inference (e.g., 5G-enabled processing) transitioning to cloud platforms for advanced ML, big data analytics, and scalable storage.

• AI technical depth in integrating IoT data with phygital models, including prompt engineering for GenAI on edge devices and cloud-based validation.

• Expertise in FAIR data principles for IoT ecosystems, enabling integration with AI/ML, cloud computing, and edge workflows.

• Ability to architect resilient edge-to-cloud pipelines that support phygital R&D, addressing challenges like cybersecurity, cost, and talent gaps.

• Effective stakeholder communication translating IoT/edge-cloud complexities into business value for cross-functional teams.

   

 

Preferred Qualifications, Capabilities, and Skills:

• Advanced degree in Computer Science, AI, or related field
• Certifications in cloud platforms such as AWS IoT or Azure Edge

J.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.
   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.