CodeRoad
AI Solutions Architect
United States
No sponsorship$140k-$250kDetected 36 days ago
LLMsAgentic AIAI OrchestrationA/B Testing
About the role
- Your mandate is to ensure that every client engagement moves CodeRoad closer to non-linear scale by prioritizing reusability, modularity, and IP creation over bespoke labor.
- Execution Oversight: Act as the technical "North Star" for our nearshore engineering teams, ensuring the delivered product matches the architectural intent and client business outcome.
- IP Identification: Proactively identify patterns in client implementations that can be "graduated" into repeatable products or platform features for Engine 3.
Responsibilities
- CodeRoad is seeking a strategic AI Solutions Architect 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.
- Design high-level architectures for autonomous agent systems, including orchestration layers, tool-use definitions, and human-in-the-loop guardrails.
- Evaluate when to leverage third-party AI platforms versus when to build proprietary agentic components that contribute to CodeRoad's long-term enterprise value.
- Experience working within or alongside boutique consulting firms to deliver high-touch professional services.
- Agentic Architecture Design: Design high-level architectures for autonomous agent systems, including orchestration layers, tool-use definitions, and human-in-the-loop guardrails.
- Build vs. Buy Governance: Evaluate when to leverage third-party AI platforms versus when to build proprietary agentic components that contribute to CodeRoad's long-term enterprise value.
- Consultative Presence: Experience working within or alongside boutique consulting firms to deliver high-touch professional services.
Requirements
- Must be legally authorized to work in the United States (no sponsorship available).
- Must be available to travel within the United States as required for customer deployments.
- Hands-on experience with LLM orchestration frameworks (e.g., LangChain, CrewAI, AutoGen) and modern cloud-native architectures.
- Ability to discuss ROI, margin impact, and operational risk with C-suite stakeholders and private equity sponsors.
- Technical Depth: Hands-on experience with LLM orchestration frameworks (e.g., LangChain, CrewAI, AutoGen) and modern cloud-native architectures.
- Business Fluency: Ability to discuss ROI, margin impact, and operational risk with C-suite stakeholders and private equity sponsors.
Nice to have
- Scalability: Ensure all solutions are built using CodeRoad's preferred technology stacks and reference architectures to maximize cross-client reuse.
Skills
- A reduction in "time-to-first-pilot" for new clients through the use of standardized AI frameworks.
- Repeatability: A reduction in "time-to-first-pilot" for new clients through the use of standardized AI frameworks.
Compensation
- The salary range for this role is $140,000-$250,000 per year.
Benefits
- CodeRoad offers a comprehensive and competitive benefits package, including medical, dental, and vision insurance, retirement plan, and paid time off (PTO).
Visa & Work Authorization
- Must be legally authorized to work in the United States (no sponsorship available).
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