Freelance Kill Switch Engineer Jobs (NOW HIRING)

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Position Overview

The AI & Systems Engineer is a hybrid infrastructure and AI operations role responsible for managing the full enterprise IT stack while also architecting, deploying, securing, and governing AI systems across the organization. This role serves as the primary technical owner for AI platform integrations-including large language models, MCP servers, and connector ecosystems-alongside traditional systems administration responsibilities covering Windows Server, cloud platforms, network infrastructure, and enterprise security. The ideal candidate bridges deep infrastructure expertise with hands-on AI engineering, ensuring AI systems are deployed with rigor, properly hardened, and tightly integrated with existing enterprise identity and security controls.

• Own the deployment, configuration, and ongoing administration of enterprise AI platforms including Anthropic Claude (claude.ai, Claude API, Claude Code) and Google Gemini; manage platform accounts, access policies, and usage governance
• Architect and manage the enterprise MCP server infrastructure: deploy and maintain MCP server instances, configure tool and connector registries, manage connector lifecycle (onboarding, auditing, deprecation), and enforce data flow and permission policies across connectors
• Integrate AI platforms and MCP servers with enterprise IAM controls (Entra ID / Azure AD SSO, Conditional Access, MFA) to ensure AI system access is governed through standard identity pipelines
• Conduct periodic AI connector and platform security assessments covering permission scopes, credential exposure, data residency, output validation, and prompt injection risk; document findings and drive remediation
• Implement and maintain AI hardening controls: API gateway rate limiting, WAF rules for AI endpoints, session management, kill switch procedures, and anomaly monitoring via SIEM
• Partner with business units to evaluate new AI tools and vendor platforms; perform pre-deployment security reviews and produce architecture documentation before production rollout
• Maintain comprehensive documentation for all AI systems: architecture diagrams, security assessment reports, connector governance policies, and operational runbooks
• Stay current with developments in enterprise AI platforms, MCP ecosystem tooling, and AI security best practices; translate emerging capabilities into actionable infrastructure improvements
• Collaborate with legal, compliance, and security teams to ensure AI platform usage aligns with HIPAA, data privacy obligations, and organizational policy

• Establish strong working relationships with corporate business units, the Operations team, IT leadership, and direct manager
• Work cross-functionally to coordinate large-scale infrastructure efforts, migrations, and AI platform rollouts
• Represent IT infrastructure and AI operations as a subject-matter expert in cross-team planning and architecture discussions
• Communicate project status, risks, and decisions clearly to both technical and non-technical stakeholders

Salary range: $120,000 - $145,000

Bonus Eligible:This position is also eligible for a discretionary company bonus, based upon business results.

Benefits: Employees in this position are eligible to participate in the company sponsored benefit programs, including the following within the first 12 months of employment:

• Health Insurance (medical, dental, and vision coverage)
• Paid Time Off (including vacation, sick leave, and flexible holiday days)
• 401(k) Retirement Plan with employer matching
• Life and Disability Insurance
• Employee Assistance Program (EAP)
• Commuter and/or Transit Benefits (if applicable)

Eligibility for specific benefits may vary based on job classification, schedule (e.g., full-time vs. part-time), work location and length of employment.