AI Solutions Architect
Role details
Job location
Tech stack
Job description
Kforce has a client that is seeking an AI Solutions Architect in Lenexa, KS. 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
- Lead activities that raise delivery quality and predictability: coding and testing standards, scope/test strategies, DevOps pipeline readiness, and definition of done
- Proactively address risks and performance/scalability concerns with clear mitigation paths
- Contribute to the Architect Review Board (ARB) by socializing patterns, reference architectures, and exception handling inputs
- Define standards and patterns for Copilot Studio agents and Fabric-integrated solutions
- Scan, evaluate, and recommend emerging technologies (AI, low-code/RPA, cloud-native services) with business-value framing; Run or support proofs of concept to demonstrate outcomes
- Apply learnings to evolve standards, templates, and recommended stacks (e.g., Azure DevOps pipelines; Fabric/Power Platform/Synapse where appropriate)
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
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
Benefits & conditions
The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future.
We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave.
Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law.
