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

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
Five years of business analysis experience
Clear command of AI data architecture and the ability to identify and mitigate privacy and security risks at each stage of an AI pipeline
Exceptional communication skills: able to present to a CIO, facilitate a working session with skeptical agency staff, and write clearly for non-technical audiences
Proven ability to navigate organizational complexity, build consensus, and lead change in environments with competing priorities or significant resistance

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 of regular full-time employees will be earned and accrued on each pay date. At the end of the calendar year, unused vacation will roll 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 employees accrue sick leave at a rate of 1hr 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.

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

AI roadmapsLLMsRAG architecturesvector databasesprompt engineeringagentic AI design patternsmulti-agent orchestration frameworksAI-native development workflowsdata architectureprivacy and security risk mitigation

Soft Skills

exceptional communicationnavigating organizational complexitybuilding consensusleading changepatiencecredibilitypractical empathyfacilitating working sessionscoachingengaging stakeholders