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AI Solutions Architect
PAR Technology. Translate business problems, workflows, constraints and desired outcomes into clear AI solution designs .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing and delivering AI-powered solutions, with a strong focus on solution architecture, evaluation of AI workloads, and continuous improvement processes. Proficient in collaborating with cross-functional teams to ensure alignment with enterprise standards and effective communication of technical decisions to stakeholders.
Highest-signal resume keywords
AI Solution DesignSolution Architecture JudgmentEnterprise AI PlatformsWorkflow AutomationAI Governance
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
AI-Powered SolutionsPrototypingAPI IntegrationWorkflow LogicMonitoring and Evaluation
Soft Skills
PrioritizationDelivery ManagementCommunication
Tools & Technologies
Claude EnterpriseMicrosoft CopilotCopilot StudioAzure AIMicrosoft 365
Industry Keywords
SaaSEnterprise EnvironmentData ClassificationAccess ControlsAudit Requirements
Tech Stack
Tools & technologiesAzure
About the role
Key responsibilities & impact- 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
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
- 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
Comp & perks- Bonus eligibility
- Potential additional compensation, including commission and/or equity, as applicable
- Equal employment opportunities
- Reasonable accommodations for individuals with disabilities