Solution Architect - AI (Contract)

geniant, LLC • Dallas, TX

5d

About The Position

geniant is seeking a Solution Architect - AI (Contract) to design a scalable production spine that moves beyond long, static prompts to a more sophisticated context management system. A critical component of the role is establishing a governed, "single source of truth" across various platforms. The project requires deep integration with the client’s existing content and development ecosystem. This initial contract is expected to start in late June/early July and will last 6-8 weeks with the possibility for an extension. Ideal candidates will have previous technical consulting experience. Successful candidates will have excellent communication skills and must be able to contract directly with geniant without sponsorship or needing a third party.

Requirements

• Expertise in implementing a vectorized knowledge retrieval layer using tools like Azure AI Search.
• Ability to evolve the existing agent framework into a production-ready capability.
• Experience in optimizing for "cost-aware" use by leveraging different models.
• Proficiency in aligning design tokens across Figma variables, NX monorepo projects, and Storybook.
• Ability to build custom token pipelines, particularly bridging Figma variables directly into code repositories.
• Expertise in defining versioning models and release practices.
• Knowledge of Bloomreach (BRXM) for designing "round-trip" capabilities, JCR access via custom "GS RS" endpoints, and automated YAML generation.
• Experience integrating AI outputs with execution tools like JIRA.
• Mastery of NX monorepos, Bitbucket-based CI/CD pipelines, and environment management (Dev, QA, Production).
• Ability to co-architect solutions with client tech leads, client design leads, and client content teams.
• Capacity to align architectural decisions with specific performance metrics.
• Skilled at identifying architectural risks.

Nice To Haves

• Previous technical consulting experience.
• Excellent communication skills.

Responsibilities

• Design a scalable production spine with a sophisticated context management system.
• Establish a governed, "single source of truth" across various platforms.
• Implement a vectorized knowledge retrieval layer using tools like Azure AI Search.
• Evolve the existing agent framework into a production-ready capability.
• Optimize for "cost-aware" use by leveraging different AI models.
• Align design tokens across Figma variables, NX monorepo projects, and Storybook.
• Build custom token pipelines, bridging Figma variables directly into code repositories.
• Define versioning models and release practices for component libraries.
• Design "round-trip" capabilities with Bloomreach CMS, including JCR access and automated YAML generation.
• Integrate AI outputs with execution tools like JIRA to automatically generate developer tickets.
• Mastery of NX monorepos, Bitbucket-based CI/CD pipelines, and environment management.
• Co-architect solutions with client tech leads, design leads, and content teams.
• Align architectural decisions with specific performance metrics.
• Identify and mitigate architectural risks.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed