AI Strategy and Solution Architect - Remote

About the role

Liberum is a team dedicated to delivering extraordinary results through strong client relationships and innovative technology solutions. Our focus on AI helps governments and enterprises navigate the complexities of adopting new technologies while maintaining public trust.

Role

We are seeking a Strategic AI Architect to help clients define, communicate, and execute AI roadmaps that are practical, scalable, and sustainable. This role requires a deep understanding of AI and the ability to bridge technical and business needs.

Position Responsibilities

• Develop and maintain practical AI roadmaps for clients based on readiness, risk tolerance, and business value
• Audit the current state of client AI capability and translate findings into clear, phased plans
• Stay current on AI trends and provide actionable guidance to clients
• Use AI-native development workflows to rapidly prototype and demonstrate solutions
• Evaluate client use cases and guide deployment decisions
• Engage stakeholders and build internal AI capability
• Publish thought leadership and speak at industry events

Requirements

• 7+ years in technology architecture, solutions consulting, or a related field, with 3+ years focused on AI or GenAI solution delivery
• Demonstrated experience developing AI roadmaps and translating strategic intent into phased, executable plans
• Hands-on proficiency with LLMs, RAG architectures, vector databases, and prompt engineering
• Experience with agentic AI design patterns and multi-agent orchestration frameworks
• Clear command of AI data architecture and the ability to identify and mitigate privacy and security risks
• Proven ability to navigate organizational complexity and build consensus

Desired Education and Experience

• Post-secondary degree in a relevant technical or business discipline
• Experience delivering AI consulting engagements across multiple clients or industries
• Familiarity with responsible AI frameworks, AI ethics principles, and practical implementation of AI governance policies
• Experience working with or within state or local government, public sector agencies, or other highly regulated environments
• Exposure to AI lifecycle management frameworks
• Existing public presence as an AI voice