The OpportunityWe are seeking an experienced Enterprise AI Solutions Architect to lead the architecture, governance, and enterprise-scale delivery of generative and agentic AI solutions. This role will define scalable AI architectures, standards, and governance practices that enable secure and responsible AI adoption.
Responsibilities
- Define enterprise AI reference architecture and agentic AI design patterns.
- Establish AI governance frameworks, policies, risk standards, model lifecycle requirements, and responsible AI practices.
- Architect production-grade agentic AI solutions integrated with enterprise systems and data.
- Evaluate and guide AI platforms including Microsoft Copilot Studio, Oracle Fusion AI Agent Studio, Azure AI, Google Gemini, Anthropic Claude, and OpenAI.
- Design AI workflows using retrieval-augmented generation (RAG), Model Context Protocol (MCP), tool-use patterns, and multi-agent orchestration.
- Establish standards for AI security, risk management, logging, auditability, DevOps/MLOps, and model validation.
- Partner with business and executive leaders to translate complex needs into high-value AI architectures.
- Guide and mentor technical and business teams on responsible AI adoption.
- Maintain architecture and governance standards as AI technologies evolve.
Qualifications
- Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field.
- Typically 8+ years of experience architecting and delivering enterprise software, data, or AI solutions, including hands-on LLM or agentic AI delivery.
- Experience designing enterprise-scale solutions across Anthropic Claude, Google Gemini, OpenAI, and Microsoft Azure OpenAI.
- Experience defining enterprise AI governance, model lifecycle standards, or responsible AI programs.
- Experience with agentic orchestration frameworks, RAG, and MCP integration patterns.
- Strong proficiency with Microsoft Graph API, Copilot Studio, Power Platform, Power Automate, and Azure AI.
- Strong Python and SQL skills.
- Experience with low-code/no-code AI workflow platforms and developer-facing AI tools.
- Proficiency with Git and Azure, Google Cloud Platform, or Amazon Web Services.
- Strong leadership and communication skills, including the ability to explain AI architecture, risks, and trade-offs to executive stakeholders.
Preferred Qualifications
- Hands-on experience with agentic AI platforms, particularly Oracle Fusion AI Agent Studio and Microsoft Copilot Studio.
- Experience supporting FP&A, finance, legal, HR, operations, or executive-facing solutions.
- Master’s degree in a related field.
- Experience in AEC, professional services, project-based organizations, system integrators, or software platform environments.
Why Join UsHelp shape how AI is architected, governed, and adopted at enterprise scale. You’ll work with leading AI technologies and collaborate with technical teams, business leaders, and executives to enable responsible AI innovation and meaningful business impact.
