Director of AI Engineering
abm industriesChicago, IL
Director of AI Engineering
L7
Occupations
Architectural and Engineering ManagersComputer and Information Systems ManagersComputer Systems Engineers/ArchitectsIndustries
Engineering ServicesComputer Systems Design ServicesAll Other Professional, Scientific, and Technical ServicesOverview:
In this role you will lead the research, design, development, and deployment of AI solutions aligned with ABM’s business strategy. You will mentor a team of data scientists and AI engineers to deliver AI-driven products and services that are scalable and production-ready. You’ll collaborate with cross-functional teams to integrate custom AI into enterprise systems, shaping how AI adds value across business functions. You will drive governance, reliability, and responsible AI practices to ensure impact and compliance. This is a chance to guide cutting-edge AI at scale within a global facilities-focused organization. Compensation / Benefits comprehensive benefits package potential bonus/incentive program
Responsibilities:
Align AI initiatives with ABM’s roadmap and business objectives Lead research on emerging AI/ML models and technologies for MVPs and deployment Spearhead rapid prototyping, validation, and productization of AI solutions Oversee development of NLP, computer vision, and predictive analytics models Ensure models are robust, scalable, and production-ready Collaborate with DevOps to deploy models and establish MLOps guardrails Implement monitoring, versioning, and retraining for AI pipelines Ensure integration with cloud platforms (Azure Synapse, ADF, Databricks) Establish ethical AI frameworks and address bias and data privacy Work with security teams to protect AI models and data Partner with stakeholders to measure impact of AI solutions across functions
Key requirements:
Machine Learning & AI expertise: deep learning, NLP, generative AI, predictive analytics, reinforcement learning MLOps & AI Engineering: model deployment, automation, monitoring, retraining Cloud & Data Platforms: Azure, AWS, Google Cloud, Snowflake Programming & Frameworks: Python, TensorFlow, PyTorch, Hugging Face, Scikit-learn, SQL Experience with OpenAI GPT models, Gemini, LLaMA, Alteryx Big Data & Infrastructure: Spark, Kubernetes, Kafka, data lakes, scalable AI architectures AI Governance & Compliance: ethical AI, bias mitigation, data privacy laws (GDPR, CCPA) Leadership experience: 5+ years leading AI/data teams Experience deploying AI at scale in enterprise settings Strong communication bridging research, engineering, and business leadership excellent communication cross-functional collaboration Azure Synapse Azure Data Factory (ADF) Databricks
Apply now (opens in a new tab)
Level
ManagerL7
Location
Chicago, IL
Occupation
Architectural and Engineering Managers
Industry
Engineering Services
Posted
today
To get sharper similar jobs, create your profile using the link below.