client in Lenexa, KS that is looking for an AI Solutions Architect for a fully onsite, contract to hire opportunity. Overview: The AI Solutions Architect converts architectural strategy into durable, production-ready solutions. Working closely with the Manager of Software Architecture, this role ensures designs adhere to enterprise standards, advance platform modernization (including ERP/D365 integrations), and deliver measurable business outcomes. The AI Solution Architect also drives option analysis, documentation quality, delivery alignment, and governance readiness, while contributing to innovation pilots (AI, low-code, cloud) that accelerate ROI. This role focuses on implementing AI agent components and providing technical leadership for complex, enterprise-scale AI agent systems built on Microsoft platforms. Responsibilities:
Translate roadmap, principles, and guardrails into concrete solution designs and architectural runway for active initiatives
Identify gaps in standards/patterns and propose pragmatic updates for review/approval via architecture governance forums
Architect scalable, governed AI agent systems aligned with enterprise strategy
Elevate organizational capability in agent-based AI solutions
Produce and maintain end-to-end architectural designs (logical, integration, deployment views), non-functional requirements, and clear decision trade-offs
Ensure designs are implemented accurately by engineering-through specification clarity, design reviews, and hands-on guidance
Reduce production risk through strong design, evaluation, and observability
Define and evolve integration approaches across ERP (D365), CRM, data platforms, and custom apps; standardize API management and data flows while simplifying legacy interfaces
Evaluate and align third-party integrations to the enterprise architecture, resolving compatibility issues and risks
Bachelor's degree in Computer Science or related field; 5+ years in software development/engineering
Proven expertise designing and delivering complex enterprise solutions, including integration patterns and non-functional requirements
Proficiency with C#/.NET (MVC), RESTful APIs, Angular, SQL, and/or X++; Strong version control practices (Git) and Azure DevOps build/release pipelines
Experience with modern data and cloud platforms (e.g., Fabric, Power Platform, Synapse); Solid grasp of architectural styles/design patterns
Proficiency in Python or a similar backend language
Exposure to Power Platform, Fabric, or Copilot Studio or other cloud-based AI platforms
Familiarity with applied AI and Microsoft AI platform technologies
Strong understanding of enterprise systems, integration, operating systems, and hardware fundamentals; Extensive relational data skills
Clear, concise written and verbal communication; Excellent time-management and organization; Effective stakeholder facilitation
Deep familiarity with Agile/Scrum and the SDLC; Demonstrated leadership of significant, complex implementations
Preferred Skills:
Master's degree (CS or related)
Prior participation in architecture governance bodies (e.g., ARB/ITSAC) and standardization efforts
Experience with enterprise AI governance and responsible AI frameworks
Experience leading cross-team technical initiatives