• Leadership role – As a platinum level consultant in your module of expertise, provide leadership to Clients and to other consultants of the same module; facilitate complex issues resolution that arise during implementations; • Develop ideas for content re-usability in your area of expertise to enable implementation efforts to be reduced for new clients; • Help to mentor other consultants in your module area of expertise; • Consultant Management (desired ability, but optional) - Manage a team of internal consultants in your module of expertise, helping to guide their career development as well as helping them achieve a good utilization balance; • Quality Assurance – Provide QA oversight of solutions recommended by consultants reporting to you and helping them ensure completeness of their designs at Blueprint time and at various other key project milestones; • Relationship Management - Help to manage client expectations and balances the needs of the company and the client to ensure satisfaction for both, and effort focused on the areas that will provide the most customer value;

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.

• Develop the overall architecture blueprint and technology roadmap for system modernization, covering application, data, integration, and infrastructure architectures. • Analyze the existing systems and data flows; design integration strategies to connect new platforms with legacy systems and external databases (state and federal) for seamless data sharing. • Select and recommend appropriate technology stacks (platforms, frameworks, databases) that fit project requirements, emphasizing a modular, “best-fit” approach for each component. • Ensure the solution’s design adheres to security and compliance requirements (e.g., NIST, FedRAMP, State security policies), with robust identity management, data encryption, and role-based access controls from the outset. • Architect cloud-ready and scalable solutions (or hybrid on-prem/cloud as appropriate) to handle high volumes of permit data and documents, with strategies for high availability and disaster recovery. • Define API and integration standards for connecting the platform with other systems (e.g. GIS services, document management, payment processing), ensuring interoperability and data consistency. • Provide technical oversight during implementation: review system designs and code, guide engineering teams in aligning development with the established architecture, and address any technical challenges or deviations. • Incorporate modern technologies such as AI-driven tools or workflow automation into the architecture where they add value (e.g., AI document review, RPA for routine tasks), ensuring they are implemented in a secure and effective manner. • Collaborate closely with project managers, business analysts, and UX designers to ensure the technical solutions align with user requirements and provide excellent user experience. • Stay up-to-date with emerging technologies and public sector IT trends, and proactively recommend innovations that could improve system performance, maintainability, or user satisfaction.

• Support the sales team by running demos for prospective customers • Run Proof-of-Value (PoV) engagements to demonstrate the value of the XBOW platform • Conduct technical discovery and requirements gathering during the sales process • Guide customers through technical onboarding • Act as Tier 1 support during the PoV stage • Be open to transitioning into post-sales support roles when required • Provide feedback to product teams on what you are seeing in the Field • Help explain the technical and business value of the product • Explain complex security concepts to customer teams • Act as a the technical PoC for customers during pre-sales • Support hand-off between pre and post sales teams