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...
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.
View more
View less