AI Strategy and Solution Architect

📋 Description

• Create and sustain effective AI roadmaps for clients, taking into account their readiness, risk tolerance, and business value.

• Evaluate the client's current AI capabilities and transform insights into structured, phased plans that can be easily understood and supported by stakeholders.

• Establish governance frameworks, decision-making processes, and success metrics tailored to each level of solution delivery.

• Keep up-to-date with the fast-changing AI landscape and convert industry advancements into practical, actionable advice for clients.

• Provide guidance on model selection, platform considerations, and emerging capabilities within the LLM and GenAI ecosystem.

• Differentiate significant trends from fleeting fads in AI, assisting clients in investing in sustainable strategies rather than following temporary headlines.

• Employ AI-native development processes and agentic IDEs to swiftly prototype functional solutions that clarify abstract ideas.

• Showcase potential outcomes during client sessions, bridging the gap between strategy and tangible results.

• Utilize prompt engineering and LLM-driven code generation to expedite solution development.

• Support clients in gaining a foundational understanding of agentic AI and its feasible applications in their environments.

• Analyze client use cases to determine if agentic architectures are suitable or if simpler solutions would yield better results.

• Assist clients in making deployment choices, including build versus buy decisions, orchestration tools, and rollout phasing.

• Act as an informed intermediary between agentic AI capabilities and the operational realities of the client's business.

• Assess and recommend data architecture models that safeguard PII and citizen data, especially in public sector settings under regulatory scrutiny.

• Develop guardrails, access controls, and governance policies to facilitate AI adoption while maintaining security and public trust.

• Aid clients in differentiating between cloud-based AI solutions and on-premise or hybrid architectures based on their specific data residency and sovereignty needs.

• Engage stakeholders at all levels, from executive sponsors to frontline employees, using tailored approaches that address their concerns and readiness.

• Manage organizational complexities and resistance with patience, credibility, and practical empathy, especially in environments where there is fear surrounding AI adoption.

• Facilitate workshops, demonstrations, and awareness sessions that foster understanding and momentum without overwhelming participants.

• Mentor client-side personnel to develop internal AI capabilities, reducing reliance on external support over time.

• Identify opportunities to enhance client value across engagements and contribute to the expansion of Liberum's AI practice.

• Publish thought leadership content — such as blog posts, white papers, or articles — to position Liberum as a credible voice in the AI sector for the public domain.

• Represent the practice externally by speaking at agency, industry, and conference events when appropriate.

• Act as the named architect on high-profile engagements and contribute to RFP and SOW processes as the AI subject matter expert.

⛳️ Requirements

• **7 or more years** of experience in technology architecture, solutions consulting, or a closely related field, with **at least 3 years dedicated to AI or GenAI solution delivery**.

• **Proven experience in developing AI roadmaps** and translating strategic goals into phased, actionable plans.

• **Hands-on expertise with LLMs, RAG architectures, vector databases, and prompt engineering** in production or near-production environments.

• **Familiarity with agentic AI design patterns** and multi-agent orchestration frameworks.

• **Proficiency in AI-native development workflows**, including agentic IDEs and vibe coding techniques for rapid prototyping.

• **Experience in translating business objectives into technical architecture decisions** — formal business analysis credentials are not mandatory, but the ability to interpret business needs and convey them effectively to technical execution is crucial.

• **Strong understanding of AI data architecture** and the capacity to identify and alleviate privacy and security risks at every stage of an AI pipeline.

• **Demonstrated communication skills.** We require proof — not just claims — that you can convey the same technical material to audiences with varying levels of AI literacy. Acceptable evidence may include recorded presentations, published writings, workshop facilitation samples, or a public portfolio demonstrating AI-related insights.

• **Proven capability to navigate organizational complexities, build consensus, and lead change** in settings with competing priorities or significant resistance.

🏝️ Benefits

• Liberum provides a comprehensive benefits package that includes full medical, dental, life, and short-term disability coverage, along with a 401k plan (4% matching, no vesting period).

• All full-time employees are entitled to PTO and sick leave, with 9 paid holidays observed each year.

• Regular full-time employees earn and accrue paid vacation time on each pay date. Unused vacation at the end of the calendar year will carry over into the following year.

• As an employer in Washington State, we comply with all state ordinances, ensuring employees accrue sick leave at a rate of 1 hour for every 40 hours worked.

• At the end of the calendar year, any unused vacation will roll over into the next calendar year.

• Additionally, we offer a bonus leave program for employees who wish to participate.