Senior AI Enablement Architect

Senior AI Enablement Architect

Compensation: $150,000–$200,000
Location: Newark, NJ (Onsite, Full Time)

Position Overview

We are seeking a Senior AI Enablement Architect to design and implement the architectural frameworks, standards, and guardrails that govern how AI tools are adopted across the organization.

This role sits at the intersection of software engineering, AI, security, and DevOps . You will enable teams to move fast with AI while ensuring systems remain secure, stable, and production-ready. This is a hands-on architecture role for someone who has built real systems—not just evaluated tools.

Key Responsibilities

AI Architecture & Enablement

• Design safe innovation frameworks that allow experimentation without risking production systems
• Define isolation patterns, guardrails, and approval workflows for AI usage
• Establish how AI tools interact with core systems, data, and infrastructure

Standards, Policies & Governance

• Develop clear standards for AI tool usage, deployment pipelines, and data access
• Define policies addressing AI-specific risks such as prompt injection and code-generation vulnerabilities
• Ensure architectural consistency across teams and platforms

System & Integration Architecture

• Set integration standards across services, including API contracts, authentication, authorization, and data governance
• Ensure integrations are secure, scalable, and maintainable
• Guide teams on architectural tradeoffs and long-term system health

DevOps & Delivery Enablement

• Partner with DevOps to embed AI guardrails into CI/CD pipelines
• Implement approval gates, secrets handling, rollout/rollback strategies, and automated scanning
• Ensure AI-generated code meets quality and security standards before release

Guidance & Enablement

• Advise engineering and business teams on AI architecture decisions
• Translate constraints into practical, scalable solutions
• Build starter kits, templates, shared components, and example integrations teams can reuse

Qualifications

Required Experience

• 5+ years of software engineering experience
• Deep expertise in API design, microservices, and system integration
• Strong architectural background designing production-grade systems

AI & Security Expertise

• Strong fluency with LLMs, prompt engineering, and AI coding agents
• Practical understanding of AI risks and mitigation strategies
• Security-first mindset with knowledge of OWASP principles applied to AI-generated code

Professional Strengths

• Systems thinker who designs for scale, safety, and speed
• Comfortable working cross-functionally with engineers, DevOps, and business stakeholders
• Clear communicator who can set standards without slowing teams down
• Ownership mindset — builds frameworks that actually get used

What Success Looks Like

• Teams safely adopting AI without production incidents
• Clear, enforceable standards for AI usage and deployment
• Faster experimentation with fewer security and stability risks
• Consistent, secure integration patterns across systems
• AI enablement that accelerates delivery instead of creating chaos

Final Invitation to Apply

If you are a senior technical leader who understands both the power and the risks of AI—and knows how to enable innovation responsibly at scale—we’d like to speak with you.

Email Resume: [email protected]

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