# Senior AI Security Engineer

**Company:** [Hi Marley](https://hotfix.jobs/companies/hi-marley)
**Location:** Boston, MA
**Role:** Security Engineering
**Salary:** $121k – $226k/yr
**Experience:** 5+ years
**Skills:** Python, AWS, Aws Iam, Aws Networking, Container Isolation, Encryption, Monitoring, Llm Security, Ai Red Teaming, Mcp, Agent Orchestration, Dlp, SOC 2, Iso 42001, Nist Ai Rmf
**Posted:** 2026-07-07

> The Senior AI Security Engineer will secure internal LLM, agent, MCP connector, and AI integration environments through threat modeling, controls engineering, red teaming, governance, and compliance evidence. Requires 5+ years of security engineering experience, hands-on AI/ML depth, Python, AWS security, and familiarity with AI risk frameworks.

## Job Description

## Responsibilities

### AI Security Engineering & Threat Modeling
- Apply AI security design patterns and reference architectures to LLM integrations, agent frameworks, MCP connectors, and data pipelines.
- Lead threat modeling for new AI capabilities, identify architectural risks, and drive mitigations into the design phase.
- Implement controls for agent isolation, least-privilege execution, credential scoping, and data-boundary enforcement.
- Maintain an inventory of AI tools and integrations, including data flows, permission scopes, and access controls.
- Track emerging AI security research, attack techniques, and defensive tooling.

### AI Security Program Execution
- Run risk assessments for internal AI tools, integrations, and third-party model providers.
- Execute AI red-team testing for prompt injection, data exfiltration, model manipulation, and jailbreaking; drive remediation.
- Operate the agent and MCP connector lifecycle from proposal through approval, deployment, monitoring, and retirement.
- Evaluate new AI tool requests, including vendor risk, data handling, and baseline configuration; identify and govern unapproved tools.
- Maintain AI security incident-response runbooks and support incident response.
- Track and report AI security metrics.

### Trust, Compliance & Collaboration
- Produce compliance evidence and documentation for SOC 2 Type II examinations and ISO 42001 certification.
- Translate technical decisions into auditor-ready explanations.
- Partner with AI Operations and Corporate IT on inference API access controls, isolation for cloud-hosted agentic workloads, and endpoint/DLP configuration.
- Contribute employee guidance on safe AI use.

## Requirements
- 5+ years of experience in security engineering, application security, or infrastructure security, with hands-on exposure to AI/ML systems.
- Experience securing or building LLM-based systems, agentic frameworks, or ML pipelines in cloud environments.
- Understanding of AI-specific attack surfaces, including prompt injection, tool-use exploitation, privilege escalation through inherited access, data poisoning, and model or training-data leakage.
- Hands-on experience building with AI systems.
- Strong Python proficiency and experience building security tooling, automation, and testing.
- Strong knowledge of AWS security, including IAM, networking, container isolation, encryption, and monitoring.
- Familiarity with SOC 2, ISO 27001, ISO 42001, and NIST AI RMF, including mapping technical controls to audit requirements.
- Ability to communicate technical risk to engineers, auditors, and stakeholders.

## Nice-to-Haves
- Experience with AI red-teaming or adversarial testing.
- Experience with MCPs, agent orchestration frameworks, or similar agentic infrastructure.
- Background in DLP, monitoring, or observability for AI or cloud workloads.
- Experience at a growth-stage B2B SaaS company.

## Compensation & Benefits
- Annual base salary range: **$121,000–$226,000 USD**.
- Equity grants for all employees.
- 4% matching 401(k) program.
- Medical, dental, vision, disability, and life insurance for employees working 30+ hours per week.
- Monthly wellness stipend.
- Paid parental leave.
- Flexible vacation policy.

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