AI Solutions Architect lexana ks

ESR Healthcare; Lenexa (KS); On-site; USD 100,000 - 130,000; Full time

Job summary

ESR Healthcare in Lenexa, KS is looking for an AI Solutions Architect to design durable, production-ready AI solutions and lead architectural strategies. The role requires close collaboration with the Manager of Software Architecture to ensure adherence to enterprise standards and deliver measurable outcomes.

Ideal candidates will have over 5 years in software development, strong design skills, and expertise with C#/.NET, RESTful APIs, and modern data platforms. This is a fully onsite position.

Qualifications

• 5+ years in software development/engineering with proven expertise in complex enterprise solutions.
• Strong grasp of architectural styles, design patterns, and enterprise systems.
• Strong communication, time-management, and organization skills.

Responsibilities

• Translate roadmap into solution designs and architectural runway for initiatives.
• Architect scalable AI agent systems aligned with enterprise strategy.
• Produce and maintain end-to-end architectural designs and requirements.

Skills

C#/.NET (MVC)

RESTful APIs

Angular

SQL

Python

Agile/Scrum

Version control (Git)

Azure DevOps

Education

Bachelor’s degree in Computer Science or related field

Job description

AI Solutions Architect

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

Qualifications

• 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

Location: Lenexa, Kansas, United States.