AI Solution Architect (Solution Leadership)

Position Description:

Your future duties and responsibilities:

• . Design and govern the technical architecture for AI enabled solutions across the program. . Define AI reference architectures, reusable patterns, and implementation guardrails for delivery teams. . Evaluate and recommend AI platforms, models, tooling, and integration patterns that support enterprise delivery. . Support implementation of AI SDLC practices and BMAD within engineering teams. . Collaborate with architecture and engineering teams to integrate AI capabilities into delivery ecosystems. . Define patterns for prompt management, AI assisted automation, and AI enabled developer productivity. . Ensure AI solutions align with enterprise architecture, security, privacy, and Responsible AI principles. . Support technical design reviews and mentoring for AI related solution decisions.

Required qualifications to be successful in this role:

• . 10+ years of experience designing enterprise software solutions and application architectures. . 5+ years of experience as a Solution Architect or Enterprise Architect in complex environments. . Demonstrated experience designing and implementing AI enabled enterprise solutions. . Strong experience with AI enabled Software Development Lifecycle (AI SDLC) practices. . Hands on experience implementing the Business Model Assisted Development (BMAD) framework or similar AI native delivery method. . Experience designing cloud native architectures using Microsoft Azure or another leading public cloud platform. . Strong understanding of enterprise integration, APIs, microservices, event driven architectures, and distributed systems. . Experience with DevSecOps, CI/CD, secure software engineering, and modern architecture principles. . Strong leadership, analytical, communication, and stakeholder management skills. Preferred Qualifications . Experience designing enterprise AI platforms or AI Centres of Excellence. . Experience with Generative AI, Agentic AI, LLMs, RAG, AI agents, or prompt engineering. . Experience integrating AI capabilities into enterprise software engineering environments. . Azure AI, Cloud, or Architecture certifications. . TOGAF or equivalent enterprise architecture certification. . Experience within highly regulated industries.