Lead Applied Data & AI Engineer at VeeRteq Solutions Inc.

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. Key Skills Apache Hive,S3,Hadoop,Redshift,Spark,AWS,Apache Pig,NoSQL,Big Data,Data Warehouse,Kafka,Scala Employment Type : Full Time Experience: years Vacancy: 1