AI Technical Lead

AI Technical Lead Location: Lake Forest, IL - Hybrid Key Responsibilities Own the technical design and architecture of agentic AI solutions, from discovery and prototyping through build, testing, and production deployment Define and validate solution architectures that use Azure OpenAI, Azure Machine Learning Studio, Azure Kubernetes Service (AKS), and related Azure services Design and implement agent orchestration patterns, including tool use, multi-agent workflows, and integrations with enterprise systems such as CRM platforms Establish and enforce AI security controls, including authentication, authorization, entitlement management, and data access boundaries Implement observability, monitoring, and logging practices for AI solutions in production, including tracing, cost and performance tracking, and incident response Develop evaluation frameworks for retrieval and generation quality, including groundedness, accuracy, relevance, and safety metrics Extend and integrate Microsoft Copilot capabilities to support business use cases where appropriate Partner with business stakeholders, architecture, cybersecurity, infrastructure, and development teams to align AI solutions with enterprise standards and business objectives Identify technical and delivery risks, troubleshoot complex issues, and drive mitigation strategies Present solution designs, status updates, risks, and recommendations to senior business and IT leadership Establish repeatable design patterns, standards, and best practices for future AI initiatives Required Skills & Experience Expertise in enterprise software engineering, solution architecture, or technical leadership roles Demonstrated ownership of the technical design of agentic AI initiatives delivered into production environments Strong hands-on experience with the Microsoft technology stack, especially Microsoft Azure (Azure OpenAI, Azure ML Studio, AKS, etc.) Experience with Microsoft Copilot, including extending or integrating Copilot capabilities Strong grasp of core AI concepts, including: Agent orchestration and workflow design Observability and monitoring of AI systems Authorization, entitlement, and secure data access Retrieval-augmented generation (RAG) design and evaluation Model and output evaluation, quality measurement, and responsible AI practices Excellent business communication skills, with experience leading conversations with senior business and IT leadership Ability to explain technical concepts and risks clearly to non-technical audiences Preferred Skills Experience with Dynamics CRM, including integration with AI-driven solutions Experience with Power Platform (Power Automate, Power Apps) and Dynamics 365 integrations via APIs Experience implementing AI solutions in insurance, financial services, or other regulated industries Familiarity with AI governance, compliance, and risk management frameworks Bachelor's degree in Computer Science, Information Systems, or a related field (or equivalent experience) Aavalar