Johnson Controls, a global leader in thermal management, mission-critical building systems, energy efficiency, and decarbonization, helps customers use energy more productively, reduce carbon emissions, and operate with the precision and resilience required in rapidly expanding industries such as data centers, healthcare, pharmaceuticals, advanced manufacturing, and higher education.
For more than 140 years, Johnson Controls has delivered performance where it really matters. Backed by advanced technology, lifecycle services and an industry-leading field organization, we elevate customer performance, turn goals into real-world results and help move society forward.
Role overview
As a Sr. AI Engineer, you will work on more complex AI and analytics initiatives that require strong technical depth, business understanding, and disciplined execution. You will help identify trends in large data sets, develop reusable solutions, and move ideas from analysis into real-world application. The role is focused on delivering value through Palantir-based data work, advanced modeling, and clear collaboration with Finance and Lead Gen stakeholders.
What will you do?
Partner with Finance and Lead Gen stakeholders to understand business needs and translate them into AI and analytics solutions.
Work on all stages of complex projects across data modeling, data mining, pattern analysis, data visualization, and analytical interpretation.
Build and refine Palantir-based workflows that support data integration, analysis, and insight generation.
Apply machine learning and other artificial intelligence techniques to develop practical solutions for business use cases.
Research and apply existing and emerging data science principles to improve solution quality and business relevance.
Implement analytical solutions into products and service offerings so insights can be operationalized at scale.
Collaborate with technical and business partners to validate results, improve data quality, and support adoption.
Document assumptions, model logic, and implementation details to support maintainability and reuse.
How will you do it?
Own the outcome by taking accountability for the quality, reliability, and impact of the solutions you deliver.
Stay close to the business problem by working directly with Finance and Lead Gen partners to remove ambiguity and focus on what matters most.
Use structured experimentation and measurement to compare approaches, validate results, and improve model performance over time.
Improve every day by simplifying workflows, documenting patterns, and applying clear, candid problem-solving when issues arise.
Win as one team by sharing insights early, aligning with stakeholders, and collaborating across data, engineering, and business functions.
Build solutions with Palantir Foundry and related analytics workflows in a way that supports secure, scalable delivery and long-term reuse.
What are we looking for?
University degree or equivalent combination of education and experience.
8 years of suggested minimum experience in AI, data science, analytics engineering, or a related field.
Strong experience working on complex projects involving data modeling, data mining, pattern analysis, and data visualization.
Hands-on experience applying machine learning or other artificial intelligence techniques to business problems.
Experience with Palantir Foundry and using enterprise data platforms to support analysis and solution delivery.
Ability to translate business requirements into technical approaches and communicate findings clearly to technical and non-technical audiences.
Experience working with large datasets, data quality considerations, and iterative solution development.
Strong collaboration, organization, and problem-solving skills.
Nice to have
Experience supporting Finance, commercial analytics, or Lead Gen use cases.
Experience implementing AI solutions into products and service offerings.
Exposure to production analytics workflows, model evaluation, or solution lifecycle improvement.
Experience working in fast-moving, cross-functional environments where priorities can evolve.
What do we offer?
Comprehensive benefits package.
Opportunities for professional growth and development.
Supportive and inclusive work environment.
Commitment to work-life balance and employee well-being.
Engagement in meaningful projects that make a difference.
Johnson Controls does not request pregnancy or HIV testing as a condition for hiring, continued employment, or promotion, in accordance with its commitment to labor equality and non-discrimination.
Skills Required
- University degree or equivalent combination of education and experience
- At least 8 years of experience in AI, data science, analytics engineering, or a related field
- Experience with complex projects involving data modeling, data mining, pattern analysis, and data visualization
- Hands-on experience applying machine learning or artificial intelligence techniques to business problems
- Experience with Palantir Foundry and enterprise data platforms
- Ability to translate business requirements into technical approaches and communicate findings to technical and non-technical audiences
- Experience working with large datasets, data quality considerations, and iterative solution development
- Strong collaboration, organization, and problem-solving skills
- Experience supporting Finance, commercial analytics, or Lead Gen use cases
- Experience implementing AI solutions into products and service offerings
- Exposure to production analytics workflows, model evaluation, or solution lifecycle improvement
- Experience in fast-moving, cross-functional environments with evolving priorities
Johnson Controls Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Johnson Controls and has not been reviewed or approved by Johnson Controls.
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Retirement Support — Retirement support is positioned as a meaningful part of the package through employer 401(k) matching, repeatedly framed as a strong pillar of the overall rewards mix. The matching contribution is described with specific match levels in multiple places, reinforcing perceived value for long-term saving.
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Leave & Time Off Breadth — Time off is presented as comparatively robust, with multiple paid holiday categories, vacation time, and sick time described as generous or “amazing” in places. Paid time off breadth appears to be a consistent contributor to total rewards attractiveness beyond base pay.
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Flexible Benefits — Benefits are described as broad and customizable, spanning standard medical/dental/vision plus optional add-ons like pet insurance, identity protection, and legal support. Tuition reimbursement is repeatedly highlighted as a high-value option supporting professional development.
Johnson Controls Insights
What We Do
At Johnson Controls, we transform the environments where people live, work, learn and play. From optimizing building performance to improving safety and enhancing comfort, we drive the outcomes that matter most. Dedicated to protecting the environment, we deliver our promise in industries such as healthcare, education, data centers and manufacturing. With a global team of 100,000 experts in more than 150 countries and over 130 years of innovation, we are the power behind our customers’ mission. Our leading portfolio of building technology and solutions includes some of the most trusted names in the industry, such as Tyco®, York®, Metasys®, Ruskin®, Titus®, Frick®, Penn®, Sabroe®, Simplex®, Ansul® and Grinnell®.
