AI Solutions Architect

🔥 0 minutes ago

⛰️ Colorado, Illinois, +6 more states – Remote

⛰️ Colorado – Remote 🌽 Illinois – Remote 🗽 New York – Remote 🌲 North Carolina – Remote ❄️ Minnesota – Remote 🔔 Pennsylvania – Remote 🤠 Texas – Remote 🍑 Georgia – Remote

💵 $140k - $160k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

💻 Solutions Engineer

👻 Ghost score 0%

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PAR Technology

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 1982

🍽️ Food & Beverage

💼 Consulting

📦 Logistics

Food & Beverage • Consulting • Logistics

PAR Technology is a company that provides a comprehensive suite of technology solutions aimed at the restaurant and hospitality industries. Their offerings include point of sale (POS) systems, digital ordering platforms, payment services, and customer loyalty solutions. PAR Technology aims to streamline restaurant operations through cloud-based technologies that improve speed of service, reduce wait times, and enhance the overall guest experience. They cater to various settings such as quick service, fast-casual, cinemas, casinos, theme parks, hospitality establishments, and convenience stores. By integrating various processes from front of house to back of house, PAR Technology supports a unified commerce experience for enterprises and businesses aspiring for growth.

📋 Description

• Translate business problems, workflows, constraints and desired outcomes into clear AI solution designs • Recommend whether to configure, automate, build, buy, integrate or decline a solution • Create internal AI solutions from prototype through governed release and ongoing improvement • Define requirements, architecture, dependencies, risks, delivery estimates and success measures • Make tradeoffs across user experience, quality, speed, cost, maintainability and risk • Build reusable solution patterns, components, Skills, agents, prompts and knowledge structures • Own AI solutions after launch, including quality, reliability, feedback, adoption, cost and continuous improvement • Establish evaluation, monitoring, issue management and human-review processes • Troubleshoot solution behavior and coordinate resolution across platforms, configurations, knowledge sources and dependencies • Maintain documentation, release notes, support guidance and ownership records • Retire, redesign or consolidate unsupported or low-value solutions • Partner with IT, Enterprise Systems and Security on identity, permissions, data access, environments, supportability and production readiness • Coordinate technical reviews, resolve blockers and ensure long-term ownership • Review and triage AI solution requests and maintain a prioritized delivery roadmap • Communicate scope, decisions, status and dependencies to stakeholders and the VP of AI Enablement • Evaluate AI workloads across cost, quality, latency, usage and business value • Recommend model, platform or architecture changes to optimize cost and outcomes • Validate new models and feature releases against PAR use cases • Support leadership reporting with technical status, forecasts, usage patterns and optimization opportunities • Ensure alignment with standards for data handling, access, permissions, documentation and auditability • Participate in AI policy and standards development • Define quality gates for prototypes, limited releases and broader deployment

🎯 Requirements

• Demonstrated experience designing and delivering AI-powered solutions, agents, automations or internal tools used by real business teams • Strong solution architecture judgment • 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 platform configuration, agents, workflow automation, lightweight applications, integrations or no-build solutions • Experience taking prototypes through testing, permissions, documentation, monitoring, support planning and iterative improvement • Working knowledge of APIs, MCP, webhooks and enterprise integration patterns • 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 • Preferred: experience delivering internal AI solutions across multiple corporate functions in a SaaS or complex enterprise environment • Preferred: experience partnering with IT, Enterprise Systems, Security, Legal or enterprise architecture teams • Preferred: experience using AI-assisted development tools • Preferred: familiarity with AI governance, data classification, access controls and audit requirements • Preferred: experience measuring adoption, productivity impact, solution quality and cost after launch • Prepared to walk through two AI solutions personally designed and delivered • Legally authorized to work in the U.S. or Canada

🏖️ Benefits

• Bonus eligibility • Potential additional compensation, including commission and/or equity, as applicable • Equal employment opportunities • Reasonable accommodations for individuals with disabilities

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