Lead Applied Data & AI Engineer

  • Libertyville, IL
  • Posted 13 days ago | Updated 5 hours ago

Overview

On Site
Full Time
75% Travel

Skills

Data Modeling
Python
Logging
Best Practices
Database Modeling
Containerization
Continuous Integration/Delivery
SAP
Microsoft Azure
Azure Devops
Docker
Power Bi
pytorch
data quality
HIPAA
Data Services
Subject Matter Expert
Governance
mentor
Semantic
Kernel

Job Details

Role: Lead Applied Data & AI Engineer

Location(s): Libertyville, IL (Hybrid)

Industry: Healthcare

Type: Full Time Role

Join our client Global IT Organization as we shape the future through data, analytics, and AI. We are seeking a strategic yet hands-on Lead Applied Data and AI Engineer to design and deliver enterprise-grade data platforms and AI solutions that drive measurable business impact. This role combines deep technical execution with architectural thinking-building robust data lakes, warehouses, and pipelines while operationalizing AI models and intelligent agents using Microsoft Azure AI services and modern frameworks.

Hybrid work: 3 days/week on-site at Libertyville, IL; remaining days remote.

Responsibilities:

Data Engineering & Architecture

  • Design and build data lakes, warehouses, and lakehouse architectures using Microsoft Fabric/OneLake and Azure Data Services.
  • Implement data ingestion, transformation, and orchestration pipelines with strong error handling, logging, and observability.
  • Integrate enterprise systems (SAP S/4HANA, BW, Datasphere) into governed data platforms.

AI Engineering

  • Develop and deploy AI/ML models (LLMs, SLMs, multi-modal, traditional ML) using Python and Azure ML.
  • Build Agentic AI solutions leveraging frameworks like LangChain and Semantic Kernel.
  • Apply RAG patterns and vector databases for retrieval-based AI grounded in curated data.

Operational Excellence

  • Implement MLOps best practices for reproducible, secure deployments using Azure ML and Azure DevOps.
  • Ensure compliance with privacy and regulatory standards (PHI, PII, GDPR, HIPAA).
  • Optimize cost and performance across data and AI workloads.

Collaboration & Leadership

  • Partner with global teams to integrate solutions into enterprise platforms (Power BI, Microsoft Fabric, SAP Datasphere).
  • Mentor junior engineers and promote best practices in data and AI engineering.
  • Contribute to evolving data and AI standards and reusable frameworks.

Essential Functions:

  • Lead hands-on development while applying architectural principles for scalability and governance.
  • Act as a technical thought leader in data-first AI innovation.
  • Navigate ambiguity and make informed decisions balancing data quality, time-to-value, and compliance.
  • Represent client in internal/external forums as a subject matter expert.

Requirements:

  • 8 12 years' experience in data engineering and AI/ML solution delivery.
  • Proven ability to design and implement data platforms and pipelines at enterprise scale.
  • Strong experience with Azure AI/ML tools, Microsoft Fabric, and SAP integration.
  • Bachelor's degree in computer science, Information Systems, or related field; master's preferred.
  • Certifications (Azure AI Engineer Associate, Azure Data Scientist Associate) are a plus.

Technical Skills:

  • Advanced Python, ML libraries (PyTorch, TensorFlow, scikit-learn).
  • Expertise in data modeling, governance, and quality frameworks.
  • Familiarity with LangChain, Semantic Kernel, and vector databases.
  • Strong understanding of MLOps, CI/CD, containerization (Docker).
  • Knowledge of Power BI enterprise modeling and Microsoft Fabric medallion architecture.

Preferred

  • Experience in MedTech or regulated healthcare environments.
  • Familiarity with SAP Datasphere and Microsoft Fabric integration patterns.
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