AI Strategy and Solution Architect - Remote

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.

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.

• 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.

• 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.

• 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.

• 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.

• 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.

• 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.

• Engage stakeholders at all levels, from executive sponsors to frontline staff, with approaches tailored to their concerns and readiness.
• Navigate organizational complexity and resistance with patience, credibility, and practical empathy, particularly in environments with significant fear around AI adoption.
• Lead workshops, demonstrations, and awareness sessions that build understanding and momentum without overwhelming or alienating participants.
• Coach client-side staff to build internal AI capability, reducing dependence on external support over time.
• Identify opportunities to create additional client value across engagements and contribute to Liberum’s growing AI practice.

• Publish thought leadership — blog posts, white papers, or articles — that establish Liberum as a credible AI voice in the public sector.
• Speak at agency, industry, and conference events where…