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.

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.

This person will be Liberum's public-facing AI authority in Washington State-speaking at agency and industry events, publishing pieces that shape how state and local government think about AI adoption, and serving as the named architect on our most visible engagements. If you've been waiting for the chance to put your signature on the AI story of a region, this is that seat.

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 capabilities 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.
What we require with your application

Strong candidates make their thinking visible. We screen for evidence of work, not just claims of experience. Applications without a portfolio submission will not progress past initial review. Include the following:

• Resume + cover letter (standard)
• Two pieces of public-facing AI work, in any combination of the following formats:
• A published article, white paper, or blog post you authored
• A recorded conference talk, podcast appearance, or workshop facilitation
• A public GitHub repository or shared agentic project
• A sample AI roadmap, governance framework, or architecture decision document (redacted where appropriate)
• One short paragraph (200 words or less) describing your approach to introducing AI in an environment where some stakeholders fear it, some embrace it, and some believe they are more capable than the AI itself

We read every submission. If you are between portfolio pieces or your strongest work is under NDA, tell us that directly and propose what you can share-we will work with you.
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

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 Engagement and Change Leadership

• 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

Public Voice and Practice Building

• 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

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 - formal business analysis credentials not required, but the ability to read business need and translate it cleanly to technical execution is essential
• 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. We require evidence - not just a claim - that you can deliver the same technical material across audiences with different baseline AI literacy. Acceptable evidence includes 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

Desired Education and Experience

• 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

Benefits

• Liberum offers a comprehensive benefits package with full medical, dental, life, short-term disability coverage, and 401k (4% matching, no vested period).
• Salary range varies between $165-215k annually based on experience/level of hire.
• PTO and sick leave are provided to all full-time employees. Liberum also offers 9 paid holidays per year.
• Paid vacation time for regular full-time employees will be earned and accrued on each pay date. At the end of the calendar year, any unused vacation will carry over into the next calendar year.
• 0-5 yrs, FTE 15 days (120 hours), 5 hours accrued per pay cycle (bi-monthly)
• 5+ yrs, FTE 20 days (160 hours), 6.67 hours accrued per pay cycle (bi-monthly)
• As a WA state employer, we follow all WA state ordinances, ensuring that employees accrue sick leave at a rate of 1 hour per 40 hours worked.
• At the end of the calendar year, all unused vacation will roll over into the next calendar year.
• We also offer a bonus leave program for employees interested in participating.