AI Solutions Architect

Overview

Hands-on AI solution architecture and delivery role within PAR Technology's AI Enablement & Transformation team, building governed AI solutions for internal business teams across HR, Finance, Legal, Operations, Customer Success, Marketing, Sales and Support.

What you'll do

• Translate business problems, workflows, constraints and desired outcomes into clear AI solution designs.
• Recommend the right technical path for each request, including when PAR should configure, automate, build, buy, integrate or decline a solution.
• Create working internal AI solutions and take them from prototype through governed release and ongoing improvement using PAR-approved platforms and tools.
• Define solution requirements, architecture, dependencies, risks, delivery estimates and success measures.
• Make practical tradeoffs across user experience, quality, speed, cost, maintainability and risk.
• Build reusable solution patterns, components, Skills, agents, prompts and knowledge structures that can be applied across teams.
• Own AI solutions after launch from the AI Enablement side, including solution quality, reliability, user feedback, adoption, cost and continuous improvement.
• Partner with IT and Enterprise Systems as solutions transition into PAR's formal production and support processes.
• Establish appropriate evaluation, monitoring, issue management and human-review processes for each solution.
• Troubleshoot solution behavior and coordinate resolution across AI platforms, configurations, knowledge sources and enterprise dependencies.
• Maintain solution documentation, release notes, support guidance and ownership records.
• Retire, redesign or consolidate solutions that do not deliver sufficient value or cannot be supported responsibly.
• Partner with IT, Enterprise Systems and Security on identity, permissions, data access, environment, supportability and production-readiness requirements.
• Translate business use cases into technical designs that enterprise teams can review and support.
• Create solutions that can transition into PAR's formal production processes as those pathways and standards mature.
• Coordinate technical reviews, resolve blockers and ensure long-term ownership is clear before broader deployment.
• Identify when integrations are required and partner with the appropriate technical teams or specialized builders when deeper integration work is needed.
• Review and triage incoming AI solution requests based on business value, feasibility, reuse potential, risk, effort and ongoing support cost.
• Clarify the underlying workflow before recommending a tool or technical approach.
• Maintain a prioritized delivery roadmap and communicate scope, decisions, status and dependencies to stakeholders and the VP of AI Enablement.
• Prevent one-off experimentation from becoming unsupported production tooling.
• Evaluate AI workloads across cost, quality, latency, usage and business value.
• Recommend model, platform or architecture changes that lower cost without weakening the required outcome.
• Validate new models and feature releases against PAR use cases before recommending broader adoption.
• Support leadership reporting with clear technical status, delivery forecasts, usage patterns and cost-optimization opportunities.
• Ensure AI solutions align with PAR standards for data handling, access, permissions, documentation and auditability.
• Participate in AI policy and standards development with IT, Security, Legal, Internal Audit and AI Enablement leadership.
• Define practical quality gates for prototypes, limited releases and broader deployment.
• Help business teams understand what responsible ownership looks like after an AI solution launches.

What you'll need

• Demonstrated experience designing and delivering AI-powered solutions, agents, automations or internal tools used by real business teams.
• Strong solution architecture judgment: the ability to move from an unclear business problem to a practical technical design, delivery plan and working solution.
• Hands-on experience with enterprise AI platforms such as Claude Enterprise, Microsoft Copilot, Copilot Studio, Azure AI or comparable tools.
• Ability to build and configure AI solutions using system instructions, knowledge sources, tool use, workflow logic, structured outputs and appropriate human review.
• Ability to evaluate whether a need is best solved through platform configuration, an agent, workflow automation, a lightweight application, an integration or no build at all.
• Experience taking prototypes beyond demonstration quality, including testing, permissions, documentation, monitoring, support planning and iterative improvement.
• Working knowledge of APIs, MCP, webhooks and enterprise integration patterns sufficient to evaluate and guide their use; deep integration engineering is not the primary focus of this role.
• Familiarity with Microsoft 365, SharePoint and Azure environments.
• Ability to translate technical decisions, risks and tradeoffs for non-technical business leaders.
• Strong prioritization and delivery management skills, with the ability to own an intake queue without becoming only an intake coordinator.

Nice to have

• Experience delivering internal AI solutions across multiple corporate functions in a SaaS or complex enterprise environment.
• Experience partnering with IT, Enterprise Systems, Security, Legal or enterprise architecture teams.
• Experience using AI-assisted development tools to accelerate solution delivery while maintaining standards for quality, security and maintainability.
• Familiarity with AI governance, data classification, access controls and audit requirements.
• Experience measuring adoption, productivity impact, solution quality and cost after launch.

Details

• Location: Remote - Pennsylvania.
• Interview process: Video screen with Talent Acquisition; video interview with the hiring manager via Microsoft Teams; technical solution review and working-session interview with the team via Microsoft Teams.
• Candidates should be prepared to walk through two AI solutions they personally designed and delivered.