Live opening · Posted 6 days ago
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About the role
Description supplied by the original job listing.
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 Duration: 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 strength diversity brings to the workplace. Individuals with Disabilities and Protected Veterans are encouraged to apply.
Completion of this form is voluntary and will not affect your opportunity for employment, or the terms or conditions of your employment. This form will be used for reporting purposes only and will be kept separate from all other records.
California residents: Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.
Interested candidates are encouraged to apply today to learn more about this exciting opportunity.
Work arrangement
Yes
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