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

• Architecting, developing, and deploying robust solutions that integrate client systems with our healthcare platform. • Collaborating closely with other members of your team, client stakeholders, and other internal engineering teams at WellHive. • Designing, developing, and maintaining robust software/integration solutions. • Creating and maintaining system design specifications and process flowcharts/swim lanes. • Leading systems integration efforts, ensuring seamless data flow and functionality between various platforms. • Developing and consuming APIs to facilitate communication between internal and external systems. • Managing software integration projects from conception to deployment, ensuring timely and successful delivery. • Gathering requirements, providing updates, and ensuring alignment on project goals with cross-functional teams and stakeholders. • Developing high-quality, performant, and maintainable code with comprehensive unit, integration, and end-to-end test coverage. • Participating in code reviews, design discussions, and all agile ceremonies (stand-ups, sprint reviews, retrospectives, backlog refinement). • Mentoring and supporting the technical growth of other engineers on the team. • Contributing to the continuous improvement of our development tools, processes, and architecture. • Troubleshooting and resolving technical issues, including occasional participation in a daytime on-call rotation. • Participating in technical interviews.