Build your best future with the Johnson Controls team
As a global leader in smart, healthy and sustainable buildings, our mission is to reimagine the performance of buildings to serve people, places and the planet. Join a winning team that enables you to build your best future! Our teams are uniquely positioned to support a multitude of industries across the globe. You will have the opportunity to develop yourself through meaningful work projects and learning opportunities. We strive to provide our employees with an experience, focused on supporting their physical, financial, and emotional wellbeing. Become a member of the Johnson Controls family and thrive in an empowering company culture where your voice and ideas will be heard – your next great opportunity is just a few clicks away!
What we offer:
Competitive salary
Paid vacation/holidays/sick time
Comprehensive benefits package including 401K, medical, dental, and vision care
On the job/cross training opportunities
Encouraging and collaborative team environment
Dedication to safety through our Zero Harm policy
The future is being built today and Johnson Controls is making that future more productive, more secure and more sustainable. We are harnessing the power of cloud, AI/ML and Data analytics, the Internet of Things (IoT), and user design thinking to deliver on the promise of intelligent buildings and smart cities that connect communities in ways that make people’s lives and the world better. As the AI landscape expands to GenAI, we must continuously evolve and pivot to capitalize on these advancements and bring them through the maturity cycle to benefit our teams and our customers.
What you will do:
The OpenBlue Engineering, Data and Analytics team’s prime mission for Intelligence is to leverage data and advancing technologies to transform our products and our business. To this end, given the variety of data sources and platforms where data resides, there is a need to both design and create automated pipelines and make the data available to analysts and applications. This role resides in a dedicated AI and Intelligence team, whose charter includes building and deploying intelligence capabilities. The Principal Architect role bridges between the scientists and enabling engineers to bring the full solution together in a scalable, repeatable solution. The lifecycle for streamlining operations spans from Data supply strategy to Data discovery to Data Modeling to AI Model training and development to deployment of Intelligence in the Cloud as well as at the Edge.
Taking solutions to production requires a combination of cloud engineering, data engineering, and software engineering. This entails building a unified and cohesive infrastructure that is generic enough to work for all use cases and modular enough to create particular workflows for special cases. And this is where you come in. We are looking for a talented Principal Architect with industry experience to contribute to foundational platform and data engineering with repeatability in mind. The Principal Architect will be a key member of our Data/Analytics/AI team, working with data engineers, data scientists, AI scientists, product managers, platform engineers, and domain experts.
Solutions Architecture: This role will translate business requirements into reference architectures that help productionize Analytics solutions for Smart Buildings, keeping repeatability and scale in mind.
Innovation and Proof of Concept: Be the first to experiment with new technologies, determine their primary utility, how they can integrate with other existing and new tools, and propose new/revised solutions as part of our portfolio. Work with Architecture and other Enterprise teams who are researching and experimenting with similar tools.
Technical Writing: This role will translate data requirements for applications and distill them into a high-quality, well-thought-out, cohesive implementation plan. Coordinate with Product and engineering to understand timelines, help with build-vs-buy decisions.
How you will do it:
Own the Open Blue AI Engineering solutions architecture roadmap and execution strategy that aligns with partner product groups within JCI to ensure timely integration and delivery
Work with product and engineering teams, architect and help productize end-to-end Analytics solutions accounting for the variability in data sources and collection policies, modeling frameworks for cloud and edge, and serving infrastructure
Work with data scientists, DevOps, data engineers/SMEs from domain to understand how data availability and quality affects model performance
Create and streamline workflows that allow fast experimentation of Analytics solutions that need to operate on a large scale. This includes processes for good source control and branching methodologies, CI/CD, automated testing and model monitoring and updates
Lead by example and mentor team members by demonstrating how to write well-designed modular code following best software engineering principles and using widely adopted frameworks/libraries
Evaluate partners, open source and proprietary technologies and present recommendations to onboard potential vendors, automate data pipelines/workflows, data modelling for versioned experimentation, digital feedback and monitoring
Architect and develop reference architecture for operationalizing Machine learning, LLM & Conversational AI solutions tailored to resolve unique and challenging use cases.
What we look for:
Required
BS in Computer Science/Electrical or Computer Engineering, or has a degree and demonstrated technical abilities in similar areas
7+ years of experience with technical solution architecture in one or more industry verticals with particular focus on data engineering and analytics
3+ years of experience with Cloud and IoT Solutions development
5+ years’ Experience with Python, Node JS, SQL developing microservices using standard frameworks
Experience providing Technical leadership & Architectural improvements to improve the overall AI, ML, Edge ML, LLM model development & operationalization process by suggesting improvement in tools , process, and practices by working closely with the Data Scientists & ML Ops engineers in every stage of the model development and deployment ( Data Pre-Processing, Feature Engineering, Model Problem formulation , Deployment & Observability)
Experience architecting ML Ops strategies, best practices, and standards to enhance AI ML model deployment and monitoring efficiency.
Experience with design, deployment, and management of scalable and reliable infrastructure for model training and deployment using tools similar to Microsoft Azure Databricks, Azure Cloud Native services, MLFlow etc.
Experience developing conversational AI agents using OpenAI, Assistant AI , Semantic Kernel , Azure Speech Service, Azure Translator, Azure Bot Framework, Prompt flow , Directline Speech
Experience Architecting event driven architecture to support Microservices Platform which uses containerized deployments in cloud environment using message brokers, caches, queues, pub/sub concepts, Redpanda or similar tools, container technologies such as Kubernetes, Docker, must have experience with API-first design considering security, authentication and authorization,
BS in Computer Science/Electrical or Computer Engineering, or has a degree and demonstrated technical abilities in similar areas
7+ years of experience with technical solution architecture in one or more industry verticals with particular focus on data engineering and analytics
3+ years of experience with Cloud and IoT Solutions development
5+ years’ Experience with Python, NodeJS, SQL developing microservices using standard frameworks
Experience providing Technical leadership & Architectural improvements to improve the overall AI, ML, Edge ML, LLM model development & operationalization process by suggesting improvement in tools , process, and practices by working closely with the Data Scientists & ML Ops engineers in every stage of the model development and deployment ( Data Pre-Processing, Feature Engineering, Model Problem formulation , Deployment & Observability)
Experience architecting ML Ops strategies, best practices, and standards to enhance AI ML model deployment and monitoring efficiency.
Experience with design, deployment, and management of scalable and reliable infrastructure for model training and deployment using tools similar to Microsoft Azure Databricks, Azure Cloud Native services, ML Flow etc.
Experience developing conversational AI agents using OpenAI, Assistant AI , Semantic Kernel , Azure Speech Service, Azure Translator, Azure Bot Framework, Prompt flow , Directline Speech
Experience Architecting event driven architecture to support Microservices Platform which uses containerized deployments in cloud environment using message brokers, caches, queues, pub/sub concepts, Redpanda or similar tools, container technologies such as Kubernetes, Docker, must have experience with API-first design considering security, authentication and authorization,
Experienced with mentoring technical AI/ML engineering talent on the team. Provide guidance and mentorship to junior ML Ops engineers, fostering their professional growth and development.
Experience mentoring and troubleshooting production incidents, providing technical inputs & solutions to resolve high priority/severity incidents.
You will be expected to devise and implement AI strategies tailored to specific client needs, develop prototypes and proofs of concept (PoCs) to simplify complex integration points, and ensure the smooth integration of AI and data platforms into our clients’ technology ecosystem
Fluency in network concepts & implementation, firewall / routing, security, identity / AAD (e.g., app registrations etc.)
Strong hands-on Infrastructure as Code skills with complex Terraform based frameworks (Full stack: from networking to databases / data lake configurations including central monitoring, Context: data platform)
Strong DevOps skills: both Git & complex deployment pipelines (both IaC-level AND application/logical/data pipeline level/ DB Deployment)
Container experience using technologies such as Kubernetes, Docker, AKS
Knowledgeable in the SCRUM/Agile development methodology
Strong spoken and written communication skills
Preferred
5+ years of experience with Cloud and IoT Solutions development
Experience working on developing LLMops solution for generative AI by working closely with engineers to develop a reference architecture and build on the design to support generative AI requirements
Experience implementing and operating Snowflake centric solutions, understanding of complete data analytics stack and workflow, from ETL to data platform design to BI and analytics tools and having Proficiency in implementing data security measures, access controls, and design specifically within the Snowflake platform
Subject matter expertise in technical solution engineering for at least one industry vertical such as Smart Buildings, Energy, Finance, Healthcare, Security/Surveillance, Retail, Smart Cities
Cloud Certified: Azure Solutions Architect Expert, Azure AI Engineer Associate or similar certifications.
HIRING SALARY RANGE: $120,000 - $180,000 (Salary to be determined by the education, experience, knowledge, skills, and abilities of the applicant, internal equity, and alignment with market data.) This position includes a competitive benefits package. For details, please visit the Employee Benefits tab on our main careers page at
This is a virtual/remote position considering candidates who reside within the United States
#LI-Remote
...teaching and leadership. Join us to work hard, do good, and make a lasting difference! Job Description All Uncommon Schools teachers hold primary responsibility for the implementation of Uncommons curriculum and the success of our students. Therefore, Uncommon Schools...
...Job Description Description Associate Nuclear Medicine Technologist at Providence St. Mary Medical Center in Apple Valley, CA. This position is Part time and will work 10-hour, Variable shifts. Providence St. Mary Medical Center has been a part of the community...
...The Plan Support Administrator is instrumental in carrying out the core responsibilities of the Plan Support Department. Responsibilities include... ...participant separations and withdrawals, managing early retirement incentive plan enrollments, and collaborating with plan trustees...
...Benefits starting Day 1! West Frasers McDavid, Florida location has an opportunity for a Millwright - Level 1 Reporting to the Maintenance Supervisor, the Millwright will be a key player in a company-wide continuous improvement effort through daily use of...
...and 100+ locations nationwide, we empower you to build a sustainable career doing what you love. Youll also have access to up to 2 remote work-from-home days per month for flexibility and balance. Responsibilities Day in the Life Conduct behavioral...