Data and AI Solution Architect

You will gather customer/partner insights from a broad range of stakeholders as well as the main business sponsor to shape and form both the definition and ongoing execution of projects and work with customer/partner stakeholders and business sponsor to socialize both the business solution and the project approach to determine if changes are needed to the business solution. You will define and document the Architecture through an architecture description document, an architecture decisions log, and a requirements/constraints traceability matrix to communicate the value proposition of the business solution along with the project approach. You will work with customers to understand and demonstrate business value (e.g., release of revenue, cost savings) that the business solution realizes and manage and resolve ambiguity in the requirements and constraints and documents assumptions and implications where it cannot be resolved. You will generate new and/or improvements to existing intellectual property. Connects gaps and patterns across business and technology areas to drive changes. You will identify which ideas should be culled, with consideration for scale across customers and drive the re-use of intellectual property and recommends practices in both pre-sales and delivery as well as participate and contribute to internal/external communities. Design and lead end‑to‑end enterprise data, GenAI, Copilot, and agentic AI architectures, translating business outcomes into scalable, secure, and governed solutions across cloud data platforms and AI services. Architect and drive cross‑cloud / multi‑cloud data integration and migration scenarios (e.g., AWS/GCP/Azure), including federated analytics approaches and unified governance across clouds where required. Design and govern agentic AI architectures, including orchestration across sub‑agents, API/tool integration, modular design, observability, and human validation / human‑in‑the‑loop controls. Establish AI platform and MLOps/LLMOps foundations, covering lifecycle management, monitoring, evaluation/feedback loops, and operational readiness for production AI systems. Ensure Responsible AI, security, privacy, and compliance by design, including data protection and Zero Trust alignment—especially for regulated enterprise environments. Architect cloud‑native resiliency and operational excellence, including reliability, performance efficiency, and proactive monitoring—applied to AI and migration programs. Bachelor's Degree in Computer Science, Information Technology, Engineering, or related field AND 12+ years experience in technology solutions, practice development, architecture, consulting, and/or technology domain (e.g., Security) OR Master's Degree in Computer Science, Information Technology, Engineering, or related field AND 8+ years experience in technology solutions, practice development, architecture, consulting, and/or technology domain (e.g., Security) OR equivalent experience 6+ years technical sales experience 6+ years project management experience