Generative AI Engineer: Build Production AI Apps

Alloy Enterprises; Milwaukee (WI); Hybrid; USD 85,000 - 110,000; Full time

Benefits offered by this job

Competitive salary

401K, medical, dental, and vision

Job summary

Johnson Controls is seeking an AI Engineer to join the Data Science and Analytics team in Glendale, WI. You will own end-to-end AI projects from data pipeline to deployed application, delivering measurable business value with Generative AI systems and LLM-powered applications.

The role requires strong Python/SQL skills, hands-on experience with LLMs, and proficiency in ML pipelines, MLOps, and cloud platforms such as Azure/OpenAI. Hybrid work arrangement in Wisconsin.

Qualifications

• Education in Computer Science, Software Engineering, Data Engineering, Data Science, or related field.
• 2-5 years of experience in software, data, ML engineering, or data science, including hands-on work with LLMs or generative AI.
• Experience delivering data or ML pipelines and AI/ML solutions to production.
• Experience with data science fundamentals—exploratory 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.

Responsibilities

• Develop and deploy Generative AI systems and LLM-powered applications for 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 AI agents using Palantir AIP or Microsoft Agent Framework that orchestrate tools, retrieval, and reasoning.
• Evaluate and improve model outputs for accuracy, relevance, latency, and cost, and apply data science techniques to measure performance.
• Build and maintain data pipelines—ingestion, transformation, and ETL across structured and unstructured sources (Snowflake, Azure).
• Develop and operate ML pipelines and MLOps workflows—training, evaluation, deployment, and monitoring—using CI/CD, Docker, and model serving.
• Build reusable components, services, and APIs around AI models to ship features faster.
• Implement retrieval and embedding workflows (RAG, vector databases) for scalable knowledge retrieval.
• Apply software engineering best practices—testing, version control, and code review.

Skills

Python

SQL

LLM

MLOps

Docker

Education

Bachelor's degree in Computer Science or related

Tools

Snowflake

Azure ML

Azure OpenAI

Docker

Job description

Johnson Controls is seeking an AI Engineer to join the Data Science and Analytics team in Glendale, WI. You will own end-to-end AI projects from data pipeline to deployed application, delivering measurable business value with Generative AI systems and LLM-powered applications.

The role requires strong Python/SQL skills, hands-on experience with LLMs, and proficiency in ML pipelines, MLOps, and cloud platforms such as Azure/OpenAI. Hybrid work arrangement in Wisconsin.