AI Security Engineer

Alexander Technology Group; Dedham (MA); Remoto; USD 165.000 - 289.000; Tempo pieno

Descrizione del lavoro

Alexander Technology Group is seeking an experienced AI Security Engineer for a contract engagement of 3–6 months focused on mature AI security, governance, and best practices. The role reports to executive leadership and emphasizes protecting enterprise AI environments across cloud-native platforms.

The assignment may run 3–6 months depending on experience, with potential for faster completion for senior consultants and extended knowledge transfer for mid-level consultants.

Competenze

• Experience in securing AI systems and governance frameworks.
• Proven ability to design security architectures for enterprise AI.
• Strong knowledge of data security and identity/access controls.
• Familiarity with cloud-native security practices for AI deployments.

Mansioni

• Assess AI security posture and identify gaps in governance.
• Develop AI security standards and best practices.
• Collaborate with infrastructure and development teams to implement secure AI processes.
• Evaluate risks of AI models and enterprise deployments.
• Secure AI infrastructure, data flows, and integrations.
• Design MCP gateway security controls.
• Review access controls and platform security.
• Provide documentation and knowledge transfer to internal teams.

Conoscenze

AI security

AI governance

Security architecture

Data security

IAM & access control

Strumenti

AWS Bedrock

Microsoft Foundry

Claude

Microsoft Copilot

Descrizione del lavoro

AI Security Engineer (Contract | 3–6 Months | Remote)

We're seeking an experienced AI Security Engineer to help mature and secure an organization's rapidly growing enterprise AI environment. This is a high-impact consulting opportunity reporting directly to executive leadership, focused on strengthening AI security, governance, and best practices—not building an AI program from scratch.

The engagement is expected to last 3–6 months, depending on experience. A senior consultant may complete the work in approximately three months, while a mid-level consultant may support implementation, documentation, and knowledge transfer over a longer engagement.

Key Responsibilities

• Assess the current AI security posture and identify security gaps
• Develop AI governance standards and security best practices
• Partner with infrastructure and development teams to implement secure AI processes
• Evaluate risks associated with AI models and enterprise AI deployments
• Secure AI infrastructure, integrations, and data flows
• Design security controls around Model Context Protocol (MCP) gateways
• Review permissions, access controls, and AI platform security
• Document recommendations and provide knowledge transfer to internal teams

Technical Environment

• AWS Bedrock
• Microsoft Foundry (Azure AI Foundry)
• Claude
• Microsoft Copilot

Desired Experience

• AI security and AI governance
• Enterprise AI / LLM implementations
• AWS Bedrock and/or Microsoft Foundry
• Claude and Microsoft Copilot
• MCP (Model Context Protocol) gateways
• AWS and/or Azure cloud security
• AI risk assessments
• Data security, identity, and access controls
• Security architecture

This is an excellent opportunity for an AI security consultant who understands how enterprise AI platforms integrate with cloud infrastructure and wants to help shape secure AI adoption in a rapidly evolving environment.