Ai Engineer
Job Location:
Glendale, WI - USA
Monthly Salary:
Posted on:
Vacancies:
Job Summary
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 lifecycleservicesand an industry-leading field organization we elevate customer performance turn goals into real-worldresultsand help move society forward.
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
Johnson Controls International (JCI) is seeking an AI Engineer to join our innovative and impact-driven Data Science and Analytics team. This role is ideal for an engineer who combines solid software data and ML engineering skills with hands-on Generative AI experienceand a data scientists curiosity for how models behave. You build the pipelines tooling and applications that turn AI and LLM models into dependable production software.
As an AI Engineer you will independently own the end-to-end delivery of defined AI projectsfrom data pipeline through deployed application. You will make sound technical decisions within your scope partner directly with cross-functional stakeholders and guide junior engineers on specific problems as you deliver measurable business value.
How you will do it
Generative AI Systems & Applications
Develop and deploy Generative AI systems and LLM-powered applications (e.g. GPT Claude LLaMA) for use cases such as enterprise search document summarization and conversational AI.
Apply prompt engineering fine-tuning and orchestration techniques to adapt foundation models for domain-specific applications.
Build agentic workflows and task-specific AI agentsusing Palantir AIP or the Microsoft Agent Frameworkthat orchestrate tools retrieval and reasoning.
Evaluate and improve model outputs for accuracy relevance latency and cost applying data science techniques to measure and validate performance.
Data ML & Software Engineering
Build and maintain the data pipelines that feed AI systemsingestion transformation and ETL across structured and unstructured sources (e.g. Snowflake Azure).
Develop and operate ML pipelines and MLOps workflowstraining evaluation deployment and monitoringusing CI/CD containerization (Docker) and model serving.
Build reusable components services and APIs around AI models that help the team ship features faster.
Implement retrieval and embedding workflows (RAG vector databases) for scalable accurate knowledge retrieval.
Apply software engineering best practicestesting version control and code reviewacross your projects.
Business Impact & Stakeholder Communication
Partner with cross-functional stakeholders to translate business challenges into AI solutions.
Support workshops and proofs-of-concept that demonstrate the value of LLM and agent use cases across business units.
Translate model outputs data findings and technical tradeoffs into clear insights for non-technical audiences.
Mentorship & Collaboration
Guide junior engineers on specific technical problems and code quality.
Contribute to design discussions and technical decisions within the team.
Share knowledge and help raise the bar on engineering and data science practices.
Qualifications & Experience
Education in Computer Science Software Engineering Data Engineering Data Science or a related technical or quantitative discipline.
25 years of experience in software data ML engineering or data science including hands-on work with LLMs or generative AI.
Demonstrated success delivering data or ML pipelines and AI/ML solutions to production.
Experience with data science fundamentalsexploratory analysis statistical modeling or classic ML (classification regression forecasting).
Experience with cloud AI platforms such as Azure OpenAI/Azure ML AWS SageMaker/Bedrock or Google Cloud Vertex AI.
Technical Expertise
Strong proficiency in Python and SQL with good software engineering habitstesting version control and clean code.
Hands-on experience with the Generative AI stack: prompt engineering fine-tuning (e.g. LoRA) LLM orchestration and agent frameworks (LangChain Semantic Kernel Microsoft Agent Framework).
Experience building ETL and ML pipelines and applying MLOps practices (CI/CD Docker model serving).
Familiarity with data science libraries and workflowspandas scikit-learn and model evaluation and experimentation.
Experience with JCIs stackor comparable platformsincluding Palantir AIP Azure ML Microsoft Agent Framework Power Automate and Snowflake.
Working knowledge of embeddings vector databases and retrieval systems.
Soft Skills
Ability to own projects and communicate progress risks and tradeoffs clearly.
Strong collaboration skills across product engineering and business teams.
Comfortable presenting technical and analytical work to both technical and non-technical stakeholders.
Self-directed problem solver who manages priorities independently.
Preferred Qualifications
Experience with IoT edge analytics or smart building systems.
Familiarity with LLMOps LangChain Semantic Kernel or similar orchestration frameworks.
Data science depthstatistical modeling experimentation or deep learning (forecasting computer vision or NLP).
Experience with the Microsoft ecosystem (Microsoft 365 Copilot SharePoint Power Platform Snowflake).
Knowledge of data privacy and governance considerations for enterprise LLM usage.
Additional Information
Work Location & Arrangement:Glendale WI hybrid
Sponsorship:Johnson Controls will not sponsor applicants for work visas or provide immigration-related employment sponsorship for this position now or in the future.
HIRING SALARY RANGE: $85000 - $110000 (Salary to be determined by the education experience knowledge skills and abilities of the applicant internal equity location and alignment with market data.) 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. This position includes a competitive benefits package. For details please visit the About Us tab on the Johnson Controls Careers site at 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.
Required Experience:
IC
About Company
Johnson Controls is a global diversified technology and multi industrial leader serving a wide range of customers in more than 150 countries. Our 120,000 employees create intelligent buildings, efficient energy solutions, integrated infrastructure and next generation transportation sy ... View more
