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Open nowFirst seen 5 days ago

client in Lenexa, KS that is looking for an AI Solutions Architect

ESRhealthcare and EXEC STAFF RECRUITERS1,404 open roles

Where
Lenexa, Kansas, United States
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Your applicationOpen nowclient in Lenexa, KS that is looking for an AI Solutions ArchitectESRhealthcare and EXEC STAFF RECRUITERS · Lenexa, Kansas, United States

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on ESRhealthcare and EXEC STAFF RECRUITERS's own form.

The reply lands in your private mailbox

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The clock on this job

Early applications get read.

12.3% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.1%1 day
  2. 4.5%3 days
  3. 12.3%7 days
  4. 19.3%14 days
  5. 35.6%30 days
  6. 58.1%60 days
This job: first seen 5 days ago

The posting

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

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