AI Technical Lead

Job Description

AI Technical Lead

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Location: Lake Forest, IL - Hybrid

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Key Responsibilities

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• Own the technical design and architecture of agentic AI solutions, from discovery and prototyping through build, testing, and production deployment
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• Define and validate solution architectures that use Azure OpenAI, Azure Machine Learning Studio, Azure Kubernetes Service (AKS), and related Azure services
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• Design and implement agent orchestration patterns, including tool use, multi-agent workflows, and integrations with enterprise systems such as CRM platforms
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• Establish and enforce AI security controls, including authentication, authorization, entitlement management, and data access boundaries
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• Implement observability, monitoring, and logging practices for AI solutions in production, including tracing, cost and performance tracking, and incident response
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• Develop evaluation frameworks for retrieval and generation quality, including groundedness, accuracy, relevance, and safety metrics
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• Extend and integrate Microsoft Copilot capabilities to support business use cases where appropriate
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• Partner with business stakeholders, architecture, cybersecurity, infrastructure, and development teams to align AI solutions with enterprise standards and business objectives
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• Identify technical and delivery risks, troubleshoot complex issues, and drive mitigation strategies
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• Present solution designs, status updates, risks, and recommendations to senior business and IT leadership
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• Establish repeatable design patterns, standards, and best practices for future AI initiatives
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Required Skills & Experience

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• Expertise in enterprise software engineering, solution architecture, or technical leadership roles
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• Demonstrated ownership of the technical design of agentic AI initiatives delivered into production environments
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• Strong hands-on experience with the Microsoft technology stack, especially Microsoft Azure (Azure OpenAI, Azure ML Studio, AKS, etc.)
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• Experience with Microsoft Copilot, including extending or integrating Copilot capabilities
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• Strong grasp of core AI concepts, including:
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• Agent orchestration and workflow design
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• Observability and monitoring of AI systems
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• Authorization, entitlement, and secure data access
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• Retrieval-augmented generation (RAG) design and evaluation
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• Model and output evaluation, quality measurement, and responsible AI practices
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• Excellent business communication skills, with experience leading conversations with senior business and IT leadership
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• Ability to explain technical concepts and risks clearly to non-technical audiences
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Preferred Skills

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• Experience with Dynamics CRM, including integration with AI-driven solutions
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• Experience with Power Platform (Power Automate, Power Apps) and Dynamics 365 integrations via APIs
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• Experience implementing AI solutions in insurance, financial services, or other regulated industries
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• Familiarity with AI governance, compliance, and risk management frameworks
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• Bachelor's degree in Computer Science, Information Systems, or a related field (or equivalent experience)
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