AI Technical Lead

• 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)