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Job description
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)
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Worksite address
chicago, IL, 60290, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.