Principal Cloud and Ai Architect

Vor 4 Tagen

Schaffhausen, Schweiz Johnson Controls Vollzeit

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**:

- Define and execute the OpenBlue AI solutions architecture roadmap.
- Translate business needs into scalable analytics solutions.
- Lead POCs for emerging technologies and collaborate on enterprise-wide innovation.
- Take AI models to production: architect MLOps frameworks for model training, deployment, and monitoring.
- 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.
- 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.
- Mentor engineering teams in best practices for AI incl. LLMs and cloud solutions.
- Develop secure, API-first microservices using Kubernetes, Docker, and Azure Cloud services.

**Qualifications**:
**Required**:

- Bachelor’s in CS, Engineering, or related field.
- 7+ years in technical solution architecture, incl. containerized deployements in cloud environments and API-first design
- 3+ years in cloud and IoT solutions.
- Strong Python, NodeJS, and SQL experience.
- Hands-on experience with DevOps (Git and complex deployment pipelines)
- Understanding of AI technologies with experience in using Pytorch, TensorFlow, etc.
- Expertise in MLOps strategies, cloud platforms (e.g., Azure Databricks, MLFlow), and conversational AI tools (e.g., OpenAI, Azure Bot Framework).
- Experience with Kubernetes, Docker, Terraform, and event-driven architecture.

**Preferred**:

- 10+ years of industry experience, including Azure Data Factory, Snowflake, and Power BI.
- Experience working on developing LLMops for GenAI solutions
- 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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