Director of AI Architecture for Autonomous Buildings

Johnson Controls

Glendale (AZ)

On-site

USD 145,000 - 217,000

Full time

6 days ago

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Job summary

Johnson Controls seeks a Director, AI Architecture & Autonomous Building Systems to lead the architectural vision for BAS and Controls. You will define long-term strategies across edge controllers, building networks, AI services, cloud connectivity, and cybersecurity, guiding engineering alignment for scalable, AI-enabled solutions.

This role accelerates the Autonomous Buildings vision by driving governance, vendor collaboration, and innovative software delivery.

Qualifications

Bachelor’s degree in Computer Science, Software Engineering, Electrical Engineering, Computer Engineering, or a related technical field.
10+ years of experience in software engineering, systems architecture, product development, or related technical disciplines.
3+ years of experience leading engineering teams, architecture functions, or large-scale technology initiatives.
Proven experience defining architecture strategy for complex software platforms spanning cloud, edge, and connected systems.
Experience delivering cloud-connected, AI-enabled, or intelligent software products.
Deep understanding of enterprise software architecture, distributed systems, cloud platforms, APIs, and modern software development practices.
Experience with Agile software development, DevOps, CI/CD, and software lifecycle management.
Strong understanding of cybersecurity principles and secure software design.
Demonstrated ability to influence technical strategy across large organizations and multiple stakeholders.
Excellent communication, leadership, strategic thinking, and problem-solving skills.

Responsibilities

Define and execute the software development and deployment strategy for IoT edge, cloud-hosted, and AI-enabled software products.
Partner with Building Automation Systems product leadership to prioritize and deliver technology roadmaps.
Collaborate with Product Management and Engineering teams to prioritize and refine system requirements.
Evaluate emerging technologies and industry trends to advance AI-enabled building controls and autonomous building capabilities.
Lead and inspire global teams of software engineering managers, architects, and engineers across multiple engineering centers.
Foster effective collaboration across geographies and cultures while providing clear direction and accountability.
Promote a culture of quality, technical excellence, innovation, and continuous improvement.
Recruit, develop, and retain top technical talent.
Coach and mentor engineering leaders and team members to support their professional growth and development.
Drive the transformation of installation, configuration, commissioning, monitoring, and service workflows through AI-enabled solutions.
Ensure successful delivery of product functionality, performance, quality, compliance, and productivity objectives.
Implement and continuously improve Agile development practices and software lifecycle processes.
Monitor program health, identify risks, and proactively drive mitigation plans.
Improve engineering effectiveness through AI-assisted development practices and modern software delivery methodologies.
Define end-to-end architecture spanning edge controllers, building networks, enterprise platforms, AI services, cloud connectivity, cybersecurity, and autonomous operations.
Establish architecture standards and technical direction across the BAS portfolio.
Drive adoption of modern development tools, frameworks, and engineering best practices.
Champion DevOps, CI/CD, automation, and AI-enhanced software development methodologies to accelerate delivery and improve quality.
Leverage AI-powered development tools and intelligent agents to enhance developer productivity and accelerate innovation.
Partner with Product Management, Marketing, Sales, and Engineering teams to ensure alignment between R&D initiatives and market needs.
Collaborate with external vendors and technology partners to integrate capabilities and accelerate innovation.
Build strong relationships with internal stakeholders including User Experience, IT, and Cybersecurity teams.
Establish KPIs to measure technology adoption, engineering effectiveness, product performance, and project success.
Ensure compliance with cybersecurity, regulatory, industry, and quality requirements.
Evaluate cloud infrastructure utilization and identify opportunities to optimize cost, performance, and scalability.