Bulge Bracket Investment Banks

Posted 10 days ago

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**Director of Software Engineering - Phygital AI R&D** in Dublin, Ireland, heads IoT-focused AI teams merging physical and digital systems. Strategic roadmaps & mentorship required for edge-to-cloud deployment, data interoperability, and FAIR data principles. Directs AI/ML integration, cybersecurity, and real-time analytics for scalable phygital solutions. Seeks proven, senior leader with AI/IoT R&D expertise, cloud proficiency, and transformational skills to drive continued growth in the realm of emerging technologies.

Compensation: Not specified
City: Dublin
Country: Ireland

Full Job Description

Location: Dublin, Ireland

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

Lead a dynamic team driving innovation at the intersection of physical and digital AI through IoT and edge-to-cloud solutions.

Full Job Description