AI Enablement Architect

Fabuwood Cabinetry Corp.

$120K — $150K *
Information Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 5+ years of software engineering experience focusing on API design and microservices
  • Strong understanding of LLM capabilities and AI coding agents
  • Proven ability to design frameworks for safe experimentation at scale
  • Experience collaborating with both infrastructure and business teams
  • Knowledge of OWASP principles related to AI-generated code and emerging risks

Responsibilities

  • Design safe innovation frameworks to allow experimentation without risking production
  • Develop comprehensive policies for AI tool usage and deployment pipelines
  • Establish standards for system communication, API contracts, and data governance
  • Advise teams on architectural decisions and translate constraints into opportunities
  • Create and maintain starter kits and shared components for team use
  • Implement CI/CD guardrails for AI initiatives in partnership with DevOps teams

Benefits

  • Opportunities for professional development and continuous learning
  • Flexible work arrangements to enhance work-life balance
  • Collaborative team environment fostering innovation
  • Access to cutting-edge AI technologies and tools
  • Participation in cross-departmental projects enhancing career growth
Full Job Description
AI Enablement Architect

About the Role

We're seeking a Senior AI Enablement Architect to design and implement the architectural frameworks, policies, and integration strategies that will govern how AI tools are adopted across our organization. You'll work across our software development and DevOps teams to create standards and deliver practical implementations that enable innovation while maintaining security and stability.

What You'll Do
  • Architect safe innovation frameworks - Design isolation patterns and guardrails that enable experimentation without risking production systems
  • Establish standards & policies - Develop comprehensive policies for tool usage, deployment pipelines, data access patterns, and AI-specific security risks including prompt injection and code generation vulnerabilities
  • Architect integration patterns across systems - Set the standard for how services communicate across systems, including API contracts, authentication and authorization, and data governance to ensure integrations remain consistent and secure
  • Provide strategic guidance - Advise technical and business teams on architectural decisions while translating constraints into scalable opportunities across departments
  • Develop templates & starter kits - Build and maintain starter repositories, shared components, and example integrations that teams can leverage as a foundation
  • Integrate AI into delivery pipelines - Partner with DevOps teams to implement CI/CD guardrails for AI initiatives, including approval gates, secrets management, safe rollout and rollback processes, and automated code scanning within release workflows

Qualifications
  • 5+ years of software engineering experience with deep expertise in API design, microservices, and data isolation
  • AI fluency - Strong understanding of LLM capabilities, prompt engineering, and the AI coding agent landscape
  • Systemic thinking - Proven ability to design frameworks that enable safe experimentation at scale
  • Cross-functional collaboration - Comfortable partnering with infrastructure teams and business stakeholders
  • Security mindset - Strong knowledge of OWASP principles as applied to AI-generated code and emerging LLM-related risks

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