AI Strategy and Solution Architect-Remote

Liberum • Olympia, WA

1d • Remote

About The Position

Liberum is 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 role involves building, demonstrating, and coaching clients to understand and navigate their AI journey. The ideal candidate will possess the technical credibility to design AI systems and the communication skills to earn trust with executives and staff. A core part of this engagement involves helping clients understand their current AI capabilities, prioritize next steps, and build internal capacity for sustainability. The candidate should be comfortable with both strategic discussions and technical execution, and genuinely enjoy the human side of technology adoption. This person will be Liberum's public-facing AI authority in Washington State, speaking at events, publishing thought leadership, and serving as the named architect on visible engagements. The role is crucial in helping clients adopt AI responsibly, moving them from fear and paralysis to clarity and momentum, and unlocking new capabilities.

Requirements

• 7 or more years in technology architecture, solutions consulting, or a closely related discipline, with at least 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 in production or near-production contexts.
• Working knowledge of agentic AI design patterns and multi-agent orchestration frameworks.
• Fluency with AI-native development workflows, including agentic IDEs and vibe coding approaches for rapid prototyping.
• Experience translating business intent into technical architecture decisions.
• Clear command of AI data architecture and the ability to identify and mitigate privacy and security risks at each stage of an AI pipeline.
• Demonstrated communication craft. Evidence required (recorded talks, published writing, workshop facilitation samples, or a public portfolio of AI-related thinking).
• Proven ability to navigate organizational complexity, build consensus, and lead change in environments with competing priorities or significant resistance.
• Portfolio submission including: Resume + cover letter, two pieces of public-facing AI work (published article, white paper, blog post, recorded conference talk, podcast appearance, workshop facilitation, public GitHub repository or shared agentic project, sample AI roadmap, governance framework, or architecture decision document), and one short paragraph (200 words or less) describing your approach to introducing AI in an environment where stakeholders have varied reactions.

Nice To Haves

• Post-secondary degree in a relevant technical or business discipline.
• Understanding of key data privacy and governance standards including FedRAMP or StateRAMP.
• 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.
• An existing public presence as an AI voice — speaker, author, contributor, or community member.

Responsibilities

• 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 appropriate, representing the practice externally.
• Serve as the named architect on flagship engagements and contribute to RFP and SOW work as the AI subject matter expert.

Benefits

• Comprehensive benefits package with full medical, dental, life, short-term disability coverage.
• 401k (4% matching, no vested period).
• PTO and sick leave.
• 9 paid holidays per year.
• Paid vacation time (accrued based on years of service).
• Sick leave accrued at a rate of 1 hour per 40 hours worked.
• Bonus leave program.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed