AI Solutions Architect

Responsibilities

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.

• 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 Dev Ops 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

• 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

Pay range is the lowest to highest compensation we reasonably in good faith believe would be paid for this role. Employee pay is based on factors such as relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs.

Benefits: medical/dental/vision insurance, HSA, FSA, 401(k), 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. 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 until paid and may be modified in its discretion consistent with the law.

This job is not eligible for bonuses, incentives or commissions.

Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.