Lead Applied Data & AI Engineer

Lead Applied Data & AI Engineer

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.

Start Date: Immediately

Positions: 1

Position Type: Full Time

Location: Hybrid in Libertyville, IL, US, 60048 (3 days/week on‑site, remaining days remote)

Intuitive is an innovation‑led engineering company delivering business outcomes for hundreds of enterprises globally. With a reputation as a Tiger Team and a Trusted Partner of enterprise technology leaders, we solve the most complex Digital Transformation challenges across our Intuitive Superpowers:
Modernization & Migration, Data & AI/ML, Cybersecurity, SDx & Digital Workspace, and Intuitive Services.

Data Engineering & Architecture

• Design and build data lakes, warehouses, and lakehouse architectures using Microsoft Fabric/One Lake and Azure Data Services.
• Implement data ingestion, transformation, and orchestration pipelines with strong error handling, logging, and observability.
• Integrate enterprise systems (SAP S/4
  
  HANA, BW, Datasphere) into governed data platforms.
• Develop and deploy AI/ML models (LLMs, SLMs, multi‑modal, traditional ML) using Python and Azure ML.
• Build Agentic AI solutions leveraging frameworks like Lang Chain 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 Dev Ops.
• Ensure compliance with privacy and regulatory standards (PHI, PII, GDPR, HIPAA).
• Optimize cost and performance across data and AI workloads.
• 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.

• 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.

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

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

Seniority level: Mid‑Senior level

Employment type: Full‑time

Job function: Information Technology

Industries: IT Services and IT Consulting