AI Strategy and Solution Architect - Remote

About Liberum Liberum is first and foremost a team. A team that does what it takes to deliver extraordinary results while living our values. We are passionate about client success because we know that we're making a positive change for that person, others and the whole organization. We believe extraordinary results are built on relationships. How we interact, share, guide, and mentor make it possible to lead people through meaningful change and leave our clients with lasting capability long after an engagement ends. Liberum's tailored approach to technology consulting, organizational change management, and AI solution delivery has earned the trust of Fortune 500 companies and government agencies alike. We know that adoption and total engagement equals success, and that success can only be achieved by tailoring the approach to the specific initiative and the specific organization. The Role Liberum continues to build out its artificial intelligence (AI) practice to meet clients where they are across a full spectrum of need. We are seeking a Strategic AI Architect to serve as a trusted advisor and hands-on practitioner, helping government and enterprise clients define, communicate, and execute AI roadmaps that are practical, scalable, and built to last. This is not a role for someone who only theorizes. • You will build, demonstrate, and coach • You will walk into rooms full of skeptics and walk out with believers • You bring the technical credibility to design real AI systems • You bring the communication skills to earn trust with executives, agency staff, and everyone in between A core part of this engagement involves helping clients understand and navigate where they are across the AI spectrum, where they should prioritize next, and how to build the internal capability to sustain what is built. We are looking for someone who is as comfortable in a whiteboard session as they are in a terminal window. Equally important, we are looking for someone who genuinely enjoys the human side of technology adoption and gets energy from helping skeptical people become confident ones. Note: The clients you work with are at an inflection point. They are trying to figure out how to adopt AI without breaking what works or compromising public trust. Your roadmap and guidance will literally shape their AI future. You will help leaders move from fear and paralysis to clarity and momentum. You will be the person who unlocks capability that seemed impossible six months before. That matters. If you want the opportunity to put your signature on an organization's future, we would like to talk. Position Responsibilities AI Roadmap and Strategy • Develop and maintain practical AI roadmaps for clients based on readiness, risk tolerance, and business value • Assess the current state of client AI capability and translate findings into clear, phased plans that stakeholders understand and can rally around • Define governance structures, decision frameworks, and success metrics appropriate to each tier of solution delivery Industry Awareness and Trend Translation • Stay actively current on the rapidly evolving AI landscape and translate industry developments into practical, actionable guidance for client environments • Advise clients on model selection, platform tradeoffs, and emerging capabilities across the LLM and GenAI ecosystem • Distinguish signal from noise in AI trends, helping clients invest in approaches with staying power rather than chasing the next headline Vibe Coding and Rapid Prototyping • Use AI-native development workflows and agentic IDEs to rapidly prototype working solutions that make abstract concepts concrete • Demonstrate what is possible in working sessions with clients, reducing the gap between strategy and tangible output • Leverage prompt engineering and LLM-driven code generation to accelerate solution development Agentic AI Design and Orchestration • Help clients build a foundational understanding of agentic AI and what it can realistically do in their environment • Evaluate client use cases to assess whether agentic architectures are the right fit, or whether simpler approaches will deliver better outcomes • Guide clients through deployment decisions, including build vs. buy, orchestration tooling, and phasing of rollout • Serve as a knowledgeable translator between agentic AI capabilities and the practical, operational realities of the client's business Data Privacy, Security, and AI Governance • Evaluate and recommend data architecture patterns that protect PII and citizen data, particularly in public sector environments subject to regulatory oversight • Design guardrails, access controls, and governance policies that enable AI adoption without compromising security or public trust • Help clients distinguish between cloud-hosted AI solutions and on-premise or hybrid architectures based on their specific data residency and sovereignty requirements Stakeholder Engagem