Position Summary:
We are seeking a hands-on Senior AI Solutions Architect to lead the design, implementation, governance, and continuous evolution of enterprise AI solutions. At Siemon, you will have the rare opportunity to shape the future of AI for a global technology leader. This role offers the chance to establish vision, build enterprise AI capabilities, and make decisions that directly influence company strategy and business outcomes. Join a company known for its collaborative culture, long-term stability, and commitment to innovation. This role serves as both a technical leader and active contributor, responsible for architecting, developing, deploying, and supporting AI solutions while collaborating closely with business analysts, process owners, and subject matter experts.
In our lean, fast-moving environment, the successful candidate will serve as a player-coach—defining standards and strategy while also personally building solutions. This individual will lead our Microsoft Copilot Studio and Azure AI platform strategy, supervise a small team of AI developers and automation engineers, evaluate emerging technologies, and identify opportunities to drive business value through AI and automation.
Key Responsibilities:
AI Architecture & Solution Delivery
• Design and implement enterprise AI, automation, analytics, and integration solutions.
• Define architecture standards, reusable patterns, governance processes, and development best practices.
• Lead solution reviews while actively contributing to design, development, testing, and deployment activities.
• Develop proof-of-concepts, pilots, and production AI solutions.
• Ensure solutions are scalable, secure, maintainable, and aligned with business objectives.
Microsoft AI Platform Leadership
• Serve as the technical lead for Microsoft Copilot Studio, Azure AI, Power Platform, and Microsoft 365 AI capabilities.
• Design, configure, deploy, and support AI agents, copilots, automations, and platform services.
• Manage development, test, and production environments.
• Establish deployment, monitoring, support, and lifecycle management standards.
Integration, Security & Governance
• Collaborate with platform technical owners to architect and implement integrations between AI solutions and enterprise applications including ERP, CRM, SharePoint, Microsoft 365, and other business systems.
• Define security, compliance, identity management, and data governance standards.
• Ensure responsible, secure, and compliant use of AI technologies.
• Partner with IT infrastructure team to support enterprise governance requirements.
Innovation, Research & Technology Evaluation
• Research emerging AI technologies, platforms, frameworks, and industry best practices.
• Evaluate Microsoft and non-Microsoft solutions and recommend the most appropriate approach based on business value, cost, scalability, and supportability.
• Lead technology assessments and proof-of-concept initiatives.
• Stay current with developments in generative AI, intelligent automation, machine learning, analytics, and enterprise integration technologies.
• Develop recommendations and roadmaps for future architecture-related AI, automation, and data initiatives.
Business Partnership & Solution Discovery
• Collaborate closely with business analysts, process owners, functional leaders, and subject matter experts to identify opportunities for AI and automation.
• Facilitate discovery sessions, requirements workshops, and solution design meetings.
• Translate business requirements into practical solution architectures and implementation plans.
• Assist in evaluating business value, implementation effort, risks, and expected return on investment.
Team Leadership
• Manage and mentor AI developers and automation engineers.
• Provide technical leadership and architectural guidance.
• Participate directly in solution development, troubleshooting, and deployments when required.
• Promote technical excellence, documentation standards, and knowledge sharing across the team.
Platform Operations & Cost Management
• Manage AI platform operations, deployments, and environment strategies.
• Monitor Azure consumption, licensing, and AI-related spending.
• Establish cost management and optimization practices.
• Evaluate vendors, products, and service providers supporting AI initiatives.
Documentation & Standards
• Create and maintain architecture standards, reference designs, and technical documentation.
• Define documentation requirements for AI solutions, integrations, and operational processes.
• Ensure solutions are supportable, maintainable, and properly documented.
Required Qualifications:
• 8+ years of hands-on experience in solution architecture, software engineering, cloud engineering, enterprise application development, or related technical disciplines.
• Proven experience personally designing, building, deploying, and supporting business solutions.
• Experience leading technical teams and mentoring developers.
• Strong expertise with Microsoft Copilot Studio, Azure OpenAI, Azure AI Services, Microsoft Power Platform, Azure Integration Services, Microsoft 365, API and integration architecture, and cloud security/governance.
• Experience working directly with business stakeholders
• Excellent communication, facilitation, and stakeholder management skills.
Preferred Qualifications:
• Microsoft Certified: Azure Solutions Architect Expert.
• Microsoft Certified: Azure AI Engineer Associate.
• Power Platform Solution Architect certification.
• Experience with ERP, CRM, manufacturing, supply chain, and business process automation solutions.
• Experience with Oracle EBS, Oracle Analytics Server (OAS), or similar enterprise platforms.
• Experience establishing governance, operating models, and solution standards.
• Experience leading globally distributed development teams.
