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 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