AI Security Engineer

We are partnering with our top client, a leading enterprise organization, to identify a talented Mid-Level AI Security Engineer .

This is an exciting opportunity to help design, secure, and scale AI-powered applications while driving the adoption of responsible and secure AI practices across a large technology environment.

This role sits at the intersection of software engineering, artificial intelligence, and cybersecurity. The successful candidate will play a key role in building secure AI-enabled solutions, protecting enterprise systems, and helping shape the future of AI governance and application security.

Location & Schedule

• 100% Remote
• Flexible work schedule required
• Participation in occasional after-hours deployments, incident response efforts, and on-call support
• No travel requirements specified

The Mid-Level AI Security Engineer will work closely with engineering, security, architecture, and product teams to develop and secure AI-powered applications and intelligent automation solutions.

This individual will help establish secure development practices, implement application security controls, and evaluate emerging AI technologies and risks.

The ideal candidate combines strong software engineering experience with hands-on expertise in AI technologies, cloud-native environments, and application security.

Key Responsibilities

• Design, build, and maintain secure AI-powered applications and services
• Develop reusable frameworks, APIs, libraries, and tooling that support AI adoption
• Implement security controls and automated guardrails within CI/CD pipelines and development workflows
• Conduct secure code reviews and provide remediation guidance
• Perform application security assessments, vulnerability analysis, and threat modeling
• Evaluate AI-specific risks including prompt injection, model abuse, data leakage, and unauthorized access
• Collaborate across engineering, product, architecture, operations, and security teams
• Support incident response activities involving application security and AI systems
• Research emerging AI, cybersecurity, and cloud technologies
• Contribute to AI governance initiatives, security standards, and engineering best practices

Required Qualifications

• 5-7 years of professional software engineering experience
• 2+ years of hands-on experience with AI technologies, including LLMs, RAG solutions, AI agents, or generative AI applications
• Strong programming experience with Python, Go, Rust, JavaScript, or similar modern languages
• Experience with cloud-native development, APIs, containers, Kubernetes, and CI/CD pipelines
• Knowledge of secure coding practices and application security fundamentals
• Experience working within Git-based development environments
• Strong analytical, troubleshooting, and problem-solving skills
• Excellent written and verbal communication skills
• Ability to collaborate effectively across technical and business teams
• Willingness to participate in flexible scheduling and on-call support when needed

Nice-to-Have Qualifications

• Experience deploying enterprise AI applications in production environments
• Background in DevSecOps, application security, cybersecurity engineering, penetration testing, or vulnerability management
• Experience mitigating AI security risks such as prompt injection and data leakage
• Familiarity with OpenAI, Azure AI, Anthropic, LangChain, LangGraph, Semantic Kernel, or LlamaIndex
• Experience with vector databases and AI evaluation frameworks
• Cloud platform expertise with AWS, Azure, or GCP
• Security certifications such as CISSP, CSSLP, or GIAC
• AI, machine learning, or generative AI certifications

What Makes This Role Unique

• Opportunity to work on cutting-edge AI and security initiatives
• Direct impact on enterprise AI governance and security strategy
• Exposure to agentic AI systems, RAG architectures, and intelligent automation
• High visibility role partnering with cross-functional technology leaders
• Ability to influence security standards and future AI adoption efforts

Engagement Details

• Contract Duratio n: 6-12 Months
• Start Date: Approximately 2 weeks from offer acceptance
• Remote Opportunity
• Potential for extension based on project needs and performance

Interview Process

• One interview round
• Interview scheduling details to be provided during the process

Beacon Hill is an Equal Opportunity Employer that values the strengt…