Lead Applied Data & AI Engineer

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profile Job Location:

Libertyville, IL - USA

profile Monthly Salary: Not Disclosed
Posted on: 7 hours ago
Vacancies: 1 Vacancy

Job Summary

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.
  • Bachelors degree in computer science Information Systems or related field; masters 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.
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...
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Key Skills

  • Apache Hive
  • S3
  • Hadoop
  • Redshift
  • Spark
  • AWS
  • Apache Pig
  • NoSQL
  • Big Data
  • Data Warehouse
  • Kafka
  • Scala