client in Lenexa, KS that is looking for an AI Solutions Architect
About The Position
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.
Requirements
- 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
Nice To Haves
- 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
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
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What This Job Offers
Job Type
Full-time
Career Level
Senior
