Senior AI Engineer (hybrid)

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Machine Learning EngineerData

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Quick Summary

Key Responsibilities

reading customer specifications and schedules well enough to propose a configuration, catching a wrong BOM before material is committed, estimating cost and labor for non-standard scope,

Technical Tools

Machine Learning EngineerData

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.

Visit johnsoncontrols.com for more information and follow @Johnsoncontrols on social platforms. 

Responsibilities

~4 min read

Johnson Controls builds configured air handling units. A consulting engineer's mechanical schedule becomes a selection, a quote, a released BOM, a routing, and a build packet at a station. Along that path we generate a large amount of structured and semi-structured data — decades of historical orders, configurations, BOMs, labor actuals, test results, quality findings, and service records — and we currently use very little of it to make the next order faster, cheaper, or more accurate.

As a Senior AI Engineer, you will set the technical direction for AI at that intersection. Concretely: reading customer specifications and schedules well enough to propose a configuration, catching a wrong BOM before material is committed, estimating cost and labor for non-standard scope, and putting useful assistance in front of a sales engineer, an application engineer, and an operator on the floor. You will write production code, own architecture, and be the person the organization trusts to say which problems are genuinely AI problems, which are data quality problems wearing an AI costume, and which are better solved with a rule, a query, or a fixed process. We would rather hire someone with the judgment to challenge a bad idea early than someone eager to ship a demo.

Join our team in York, Pennsylvania, where you'll have the opportunity to make an immediate impact. Candidates should be located within commuting distance of the facility or be open to relocating, with relocation assistance available. For the right candidate, we are also open to considering a fully remote work arrangement.

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Bachelor's degree in Computer Science, Engineering, Applied Mathematics, Statistics, or a related field.
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5+ years in software or data engineering, with 5+ years building machine learning or AI systems that reached production and real users.
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Demonstrated ownership of an AI/ML system in production over time — not proofs of concept. You should be able to describe what broke after launch, how you found out, and what you changed.
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Strong Python and SQL. Depth in the modern applied stack: classical and tabular ML (gradient boosting, scikit-learn), deep learning frameworks, and LLM application patterns including retrieval, structured extraction, tool use, and evaluation.
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Real fluency with messy enterprise data — ERP and PLM schemas, MES and historian data, semi-structured documents — and the practical experience to know that this is where most of the work lives.
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Experience deploying and operating models in production: containerization, CI/CD, cloud ML platforms, monitoring, and cost management.

Preferred

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Experience in manufacturing, industrial, or engineer-to-order environments — HVAC, capital equipment, building products, or similar highly configured products.
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Familiarity with the configure-to-order data landscape: BOM structures, variant and option modeling, routings and standard times, engineering change processes.
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Document AI and information extraction experience with engineering drawings, specifications, or technical documentation.
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Optimization and operations research exposure — scheduling, sequencing, nesting, capacity planning — and the judgment to reach for it instead of ML when it is the right tool.
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Computer vision experience in an industrial setting, including the practical realities of lighting, fixturing, and line-side integration.
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Edge or on-premise inference experience in an OT environment.
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Experience being the first or one of the first senior AI hires somewhere, building the function rather than inheriting it.

HIRING SALARY RANGE: $120,000 - 155,000 (Salary to be determined by the education, experience, knowledge, skills, and abilities of the applicant, internal equity, and alignment with market data.) This role offers a competitive Bonus plan that will take into account individual, group, and corporate performance. This position includes a competitive benefits package. The posted salary range reflects the target compensation for this role. However, we recognize that exceptional candidates may bring unique skills and experiences that exceed the typical profile. If you believe your background warrants consideration beyond the stated range, we encourage you to apply. To support an efficient and fair hiring process, we may use technology assisted tools, including artificial intelligence (AI), to help identify and evaluate candidates. All hiring decisions are ultimately made by human reviewers. For details, please visit the About Us tab on the Johnson Controls Careers site at https://jobs.johnsoncontrols.com/about-us

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#LI-REMOTE

Johnson Controls International plc. is an equal employment opportunity and affirmative action employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, protected veteran status, genetic information, sexual orientation, gender identity, status as a qualified individual with a disability or any other characteristic protected by law. To view more information about your equal opportunity and non-discrimination rights as a candidate, visit EEO is the Law. If you are an individual with a disability and you require an accommodation during the application process, please visit here.

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About this job

Pay per year: $120,000–$155,000 a year; 35% below the $210,000 median for Machine Learning Engineer jobs on Jobera (912 salaries).
Posted: Today
Employer: has 3,643 open jobs on Jobera in 2 countries.