AI Solutions Architect

<p><strong>Role Overview</strong></p> <p>CodeRoad is seeking a strategic&nbsp;<strong>AI Solutions Architect</strong> to serve as the technical bridge between our boutique consulting partners and our execution engines. This is a "boots on the ground" role for a business-minded technologist who can navigate complex client environments to design, validate, and oversee the implementation of agentic AI systems.</p> <p>Your mandate is to ensure that every client engagement moves CodeRoad closer to non-linear scale by prioritizing <strong>reusability, modularity, and IP creation</strong> over bespoke labor.</p> <p><strong>Core Responsibilities</strong></p> <ul> <li><strong>Strategic Client Translation:</strong> Lead deep-dive discovery sessions at customer sites to translate ambiguous business problems into structured agentic workflows and technical requirements.</li> <li><strong>Agentic Architecture Design:</strong> Design high-level architectures for autonomous agent systems, including orchestration layers, tool-use definitions, and human-in-the-loop guardrails.</li> <li><strong>Scalability:</strong> Ensure all solutions are built using CodeRoad’s preferred technology stacks and reference architectures to maximize cross-client reuse.</li> <li><strong>Build vs. Buy Governance:</strong> Evaluate when to leverage third-party AI platforms versus when to build proprietary agentic components that contribute to CodeRoad’s long-term enterprise value.</li> <li><strong>Execution Oversight:</strong> Act as the technical "North Star" for our nearshore engineering teams, ensuring the delivered product matches the architectural intent and client business outcome.</li> <li><strong>IP Identification:</strong> Proactively identify patterns in client implementations that can be "graduated" into repeatable products or platform features for Engine 3.</li> </ul> <p><strong>Qualifications &amp; "Engine-Fit"</strong></p> <ul> <li><strong>Technical Depth:</strong> Hands-on experience with LLM orchestration frameworks (e.g., LangChain, CrewAI, AutoGen) and modern cloud-native architectures.</li> <li><strong>Business Fluency:</strong> Ability to discuss ROI, margin impact, and operational risk with C-suite stakeholders and private equity sponsors.</li> <li><strong>Consultative Presence:</strong> Experience working within or alongside boutique consulting firms to deliver high-touch professional services.</li> <li><strong>Pragmatic Discipline:</strong> A "Value-First" mindset that avoids hype-driven AI experimentation in favor of solutions that improve economics and delivery quality.</li> </ul> <p><strong>Success Looks Like…</strong></p> <ul> <li><strong>Repeatability:</strong> A reduction in "time-to-first-pilot" for new clients through the use of standardized AI frameworks.</li> <li><strong>Account Growth:</strong> High client trust leading to the graduation of "Turnkey Solutions" (Engine 2) into "SaaS/Platform" engagements (Engine 3).</li> <li><strong>Delivery Excellence:</strong> Implementation of agentic solutions that improve client economics without introducing unmanaged technical risk.&nbsp;</li> </ul> <p><strong>Requirements</strong></p> <ul> <li>Must be legally authorized to work in the United States (no sponsorship available).</li> <li>Must be available to travel within the United States as required for customer deployments.</li> </ul> <p><strong>Compensation &amp; Benefits</strong></p> <p>CodeRoad offers a comprehensive and competitive benefits package, including medical, dental, and vision insurance, retirement plan, and paid time off (PTO).</p> <p>The salary range for this role is $140,000–$250,000 per year.</p> <p>&nbsp;</p>