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- Aufgaben: Lead the design and deployment of scalable AI/ML and cloud solutions for smart buildings.
- Arbeitgeber: Join Johnson Controls, a leader in smart building technologies and sustainable solutions.
- Mitarbeitervorteile: Enjoy hybrid or remote work options and be part of innovative projects.
- Warum dieser Job: Shape the future with cutting-edge AI technologies and impactful innovations.
- Gewünschte Qualifikationen: Bachelor’s in CS or Engineering; 7+ years in solution architecture and cloud environments.
- Andere Informationen: Mentor teams and work with advanced tools like Kubernetes and Azure.
Das voraussichtliche Gehalt liegt zwischen 72000 - 108000 € pro Jahr.
Johnson Controls is shaping the future with smart building technologies, IoT, AI/ML, and sustainable solutions. Join us to lead in advancing AI capabilities, including GenAI, and delivering scalable, impactful innovations for intelligent buildings and smart cities.
Role Overview:
As Principal Cloud and AI Architect, you will work out of the Neuhausen office, hybrid or remotely and report directly to the Switzerland-based manager. You will drive the architecture and deployment of scalable AI/ML and cloud solutions for our OpenBlue Engineering, Data, and Analytics team.
You’ll lead the design of modular, repeatable platforms and ensure seamless collaboration between engineers, scientists, and product teams.
Key Responsibilities:
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Define and execute the OpenBlue AI solutions architecture roadmap.
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Translate business needs into scalable analytics solutions.
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Lead POCs for emerging technologies and collaborate on enterprise-wide innovation.
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Take AI models to production: architect MLOps frameworks for model training, deployment, and monitoring.
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Govern the AI models lifecycle from data supply to discovery, modeling, AI model training and development to deployment in the cloud or at the edge.
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Create and streamline workflows for solutions that need to operate on a large scale. This includes branching methodologies, CI/CD, automated testing and model monitoring and updates.
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Mentor engineering teams in best practices for AI incl. LLMs and cloud solutions.
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Develop secure, API-first microservices using Kubernetes, Docker, and Azure Cloud services.
Qualifications:
Required:
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Bachelor’s in CS, Engineering, or related field.
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7+ years in technical solution architecture, incl. containerized deployements in cloud environments and API-first design
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3+ years in cloud and IoT solutions.
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Strong Python, NodeJS, and SQL experience.
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Hands-on experience with DevOps (Git and complex deployment pipelines)
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Understanding of AI technologies with experience in using Pytorch, TensorFlow, etc.
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Expertise in MLOps strategies, cloud platforms (e.g., Azure Databricks, MLFlow), and conversational AI tools (e.g., OpenAI, Azure Bot Framework).
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Experience with Kubernetes, Docker, Terraform, and event-driven architecture.
Preferred:
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10+ years of industry experience, including Azure Data Factory, Snowflake, and Power BI.
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Experience working on developing LLMops for GenAI solutions
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Certifications: Azure Solutions Architect Expert, Azure AI Engineer Associate or similar.
Why Join Us?
Be a pioneer in building the future of intelligent systems and AI-driven solutions that enhance lives and connect communities.
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Principal Cloud and AI Architect Arbeitgeber: Johnson Controls, Inc.
Kontaktperson:
Johnson Controls, Inc. HR Team
StudySmarter Bewerbungstipps 🤫
So bekommst du den Job: Principal Cloud and AI Architect
✨Tip Number 1
Familiarize yourself with the latest trends in AI and cloud technologies, especially those related to smart buildings and IoT. This knowledge will not only help you understand the role better but also allow you to engage in meaningful conversations during interviews.
✨Tip Number 2
Network with professionals in the field of AI and cloud architecture. Attend industry conferences, webinars, or local meetups to connect with others who work at Johnson Controls or similar companies. These connections can provide valuable insights and potentially lead to referrals.
✨Tip Number 3
Showcase your hands-on experience with relevant tools and technologies like Kubernetes, Docker, and Azure services. Consider working on personal projects or contributing to open-source initiatives that demonstrate your skills in these areas, as practical examples can set you apart.
✨Tip Number 4
Prepare to discuss your approach to mentoring and leading teams in best practices for AI and cloud solutions. Think of specific examples where you've successfully guided teams or implemented innovative solutions, as this aligns well with the responsibilities of the role.
Diese Fähigkeiten machen dich zur top Bewerber*in für die Stelle: Principal Cloud and AI Architect
Tipps für deine Bewerbung 🫡
Understand the Role: Make sure to thoroughly read the job description for the Principal Cloud and AI Architect position at Johnson Controls. Understand the key responsibilities and qualifications required, as this will help you tailor your application.
Highlight Relevant Experience: In your CV and cover letter, emphasize your experience in technical solution architecture, cloud environments, and AI technologies. Be specific about your hands-on experience with tools like Python, NodeJS, and SQL, as well as your familiarity with MLOps strategies.
Showcase Leadership Skills: Since the role involves mentoring engineering teams and leading POCs, make sure to include examples of your leadership experience. Highlight any instances where you've successfully guided teams or projects in AI and cloud solutions.
Tailor Your Application: Customize your cover letter to reflect your passion for smart building technologies and sustainable solutions. Mention how your skills align with Johnson Controls' mission and how you can contribute to their innovative projects.
Wie du dich auf ein Vorstellungsgespräch bei Johnson Controls, Inc. vorbereitest
✨Showcase Your Technical Expertise
Be prepared to discuss your experience with cloud solutions, AI technologies, and MLOps strategies in detail. Highlight specific projects where you successfully implemented scalable analytics solutions or led the deployment of AI models.
✨Demonstrate Leadership Skills
As a Principal Cloud and AI Architect, you'll need to lead teams and mentor engineers. Share examples of how you've guided teams in best practices for AI and cloud solutions, and how you've fostered collaboration across different departments.
✨Understand the Business Context
Translate technical jargon into business value. Be ready to explain how your architectural decisions can drive innovation and meet business needs, particularly in the context of smart buildings and IoT.
✨Prepare for Problem-Solving Scenarios
Expect to tackle hypothetical scenarios related to AI model lifecycle management or cloud architecture challenges. Practice articulating your thought process and decision-making strategies in these situations.
