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Robert Half

Director of AI

Hybrid

Chicago, United states

$ 220,000 /year

Mid level

Full Time

16-03-2026

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Skills

Leadership Python Salesforce Monitoring Training Architecture Machine Learning Azure Data Science Spark Databricks PySpark NLP

Job Specifications

5+ years in a senior leadership role designing and deploying AI systems at scale
Proven, hands-on experience building ML models in Databricks (not just managing teams that do)
Deep experience with PySpark/Spark ML, modern Python ML frameworks, and end‑to‑end ML lifecycle management, from model training through deployment and ongoing monitoring
Experience integrating ML/AI solutions into production systems
Experience translating business problems into technical solutions and back again
Bachelor’s degree in Computer Science, Data Science, Engineering, or a related technical field required, or equivalent practical experience

Design, build, and maintain end-to-end AI solutions using Databricks, including:

Feature engineering pipelines
ML model training, evaluation, and tuning
Model deployment and monitoring in production
Develop machine learning models directly in Databricks (e.g., predictive models, classification, forecasting, NLP, and applied generative AI use cases)
Leverage Databricks AI capabilities (MLflow model registry, feature stores, notebooks, jobs, and orchestration)
Build and integrate AI solutions with existing enterprise systems (Yardi, Salesforce, ERP, BI platforms, internal applications)
Prototype quickly, validate value, and harden solutions for production use

AI Platforms & Tooling

Design and implement AI solutions using:
Databricks (core requirement)
Microsoft Copilot Studio and related Microsoft AI services
Azure-native data and AI services where appropriate
Evaluate when to use traditional ML vs. generative AI vs. automation
Own the technical decisions around model selection, architecture, and scalability

AI Strategy

Define and maintain the enterprise AI roadmap based on what can be realistically built and supported
Identify high-value, practical AI use cases tied to measurable business outcomes (cost reduction, revenue lift, operational efficiency)
Balance experimentation with production readiness

Governance, Reliability & Responsible AI

Implement practical AI governance that does not slow delivery, including:
Model versioning and lineage
Performance monitoring and drift detection
Data privacy and security controls
Ensure AI systems are explainable, auditable, and aligned with internal standards

“Our specialized recruiting professionals apply their expertise and utilize our proprietary AI to find you great job matches faster.”

About the Company

Robert Half, the world’s first and largest specialized talent solutions firm, connects opportunities at great companies with highly skilled job seekers. We offer contract, temporary and permanent placement solutions for roles in finance and accounting, technology, marketing and creative, legal, and administrative and customer support. Named to Fortune’s World’s Most Admired Companies and 100 Best Companies to Work For® lists and a Forbes Best Employer for Diversity, Robert Half is the parent company of Protiviti®. Robert Ha... Know more