Liberum, LLC.

Solutions Engineer

• 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

AI Strategy and Solution Architect