• Support senior architects in designing and delivering business solutions within the NetSuite ecosystem • Participate in requirement-gathering sessions to understand client processes and technical needs • Assist with solution blueprints, workflows, data maps, and integration outlines • Learn and support NetSuite configuration, basic customization, and data preparation • Contribute to testing, validation, and UAT coordination • Collaborate with pre-sales, delivery, product, and QA teams throughout the project lifecycle • Help document technical specs, process flows, and best practices • Support go-live and post-implementation activities with guidance • Actively engage in learning ERP, AI-driven solution enhancements, and Appficiency R&D frameworks • Research new tools and techniques that can enhance solution delivery • Assist in creating internal documentation, training materials, and knowledge resources

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description We’re looking for a client-facing AI-focused Solutions Architect based in Denver to design and deliver Microsoft AI–centric solutions across Azure AI, Copilot, Modern Work, and Business Applications. This is a hands-on role that blends AI solution architecture, presales leadership, and delivery oversight, working with clients on both greenfield and complex transformation initiatives. You’ll help organizations responsibly adopt AI while ensuring solutions are secure, scalable, and integrated across cloud, productivity, and application platforms. A Day in the Life: - Lead the architecture and implementation of AI-powered Microsoft solutions, including Azure AI services, Azure OpenAI, Copilot, M365, Teams, and Dynamics 365. - Design end-to-end AI solutions that integrate data, applications, security, and user experience across cloud and hybrid environments. - Translate business problems into practical AI use cases, balancing innovation with governance, cost, performance, and risk. - Partner with account executives and solution consultants to support presales activities, including AI demos, solution roadmaps, and technical proposals. - Provide technical leadership across the full project lifecycle: discovery, AI envisioning, design, deployment, and transition to managed services. - Define and own architecture artifacts such as AI solution diagrams, reference architectures, BOMs, SOW inputs, configuration standards, and knowledge transfer documentation. - Serve as a trusted AI advisor to clients, guiding responsible AI adoption, modernization, and continuous improvement. - Contribute to internal AI solution IP, reusable architectures, accelerators, and delivery methodologies across Azure, Modern Work, and Business Applications. Qualifications - 8+ years in enterprise solution architecture, consulting, or senior engineering roles with a strong Microsoft focus. - Proven experience designing solutions using Azure AI services, Azure OpenAI, and cloud-native architectures. - Strong Azure foundation, including IaaS, PaaS, identity, networking, automation, and security best practices. - Hands-on experience with M365, Copilot, Teams, Exchange, Active Directory, Windows Server, and virtualization platforms. - Exposure to Dynamics 365 and/or Power Platform, with interest in AI-enabled application modernization and automation. - Ability to clearly communicate AI concepts and architectural decisions to both technical and business audiences. - Experience with scripting and automation (PowerShell, Azure CLI) and familiarity with DevOps concepts. - Experience designing AI solutions in hybrid and enterprise environments. - Familiarity with AI governance, security, and responsible AI principles. - Ability to lead AI envisioning sessions, whiteboarding workshops, and executive discussions. - Experience with virtual desktop infrastructure (AVD, Citrix, or RDS). - Knowledge of enterprise frameworks such as Microsoft Cloud Adoption Framework, TOGAF, or ITIL. Requirements - Microsoft certifications like AI-900 – Azure AI Fundamentals, AI-102 – Azure AI Engineer Associate, DP-100 – Azure Data Scientist Associate, AZ-305 – Azure Solutions Architect Expert, PL-600 – Power Platform Solution Architect. - AD, Teams, Hyper-V or VMWare experience. Benefits - Great people and culture. - 401K Plan. - Career growth – Permanent staff positions, paid training, career life planning, and relocation and travel opportunities. - Interesting work – Be part of exciting projects while accessing all the latest technologies. - Flexible environment – A workplace that values the importance of flexibility for personal/professional growth, happiness, and wellness. - $134,000 - $176,400 a year, expected salary range plus 15% variable earnings. - Comprehensive benefits package including medical, dental, vision, and various insurances.

• Provides support to clients in the usage, and maintenance of their software programs as necessary. • Obtains and maintains business software certification for products as required. • Responds to client requests for software and accounting related assistance. • Performs data conversions. • Implements processes including project planning, system installation, and system setup of the accounting systems. • Assist other team members with miscellaneous assignments as required.

• Define the Technical Vision: Lead the creation of comprehensive architectural strategies and blueprints that align with long-term business goals. • Architectural Governance: Drive governance by setting standards, conducting deep-dive reviews, and managing technical risk across projects. • Platform Evolution: Design and evolve cloud-native systems with a relentless focus on scalability, security, and observability. • The "Technical Quarterback": Partner with Digital Product Managers and Product Integration Leads in a "Three-in-a-Box" model. • Contract-First Design: Define or facilitate integration specifications, API contracts (OpenAPI/Swagger), and event schemas (Kafka). • Hands-on Guidance: Work closely with engineering teams to troubleshoot technical roadblocks. • Lead Modernization: Drive initiatives to migrate from monolithic legacy systems to service-oriented architectures. • AI-Native Leverage: Pioneer the use of AI to revolutionize architecture. • Cultivate Excellence: Mentor senior engineers and architects, cultivating a culture of system thinking and technical excellence. • Build a "T-Shaped" Team: Recruit and lead a team of architects who combine broad system views with deep technical specializations.