What are the responsibilities and job description for the Lead Applied Data & AI Engineer position at VeeRteq Solutions Inc.?
Role: Lead Applied Data & AI EngineerLocation(s): Libertyville, IL (Hybrid)Industry: HealthcareType: 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 & ArchitectureDesign 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 EngineeringDevelop 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 ExcellenceImplement 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 & LeadershipPartner 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. PreferredExperience in MedTech or regulated healthcare environments.Familiarity with SAP Datasphere and Microsoft Fabric integration patterns.
Salary : $111,300 - $133,700