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AI Enablement Architect

Fabuwood Cabinetry Corp
Posted 15 days ago, valid for a month
Location

Newark, NJ 07188, US

Salary

Competitive

Contract type

Full Time

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Sonic Summary

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  • The role of Senior AI Enablement Architect involves designing and implementing architectural frameworks for AI tool adoption within the organization.
  • Candidates should have a minimum of 5 years of software engineering experience, particularly in API design and microservices.
  • The position requires expertise in AI, including knowledge of LLM capabilities and prompt engineering.
  • Responsibilities include establishing standards for tool usage, providing strategic guidance, and integrating AI into delivery pipelines.
  • Salary details are not specified, but a strong security mindset and the ability to collaborate cross-functionally are essential for success in this role.

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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