Senior Forward Deployed Engineer (AI Security)

Location: United States; remote

Salary: USD 170,000–200,000 per year in OTE, including base salary and applicable target bonus

Company

hirify.global builds platforms for digital business by combining cloud infrastructure, automation, analytics, and software delivery.

What you will do

• Deploy and operationalize AI security solutions in customer and enterprise environments.
• Translate business, operational, governance, and security requirements into scalable architectures and implementation plans.
• Design integrations across AI platforms, model registries, LLM gateways, vector databases, APIs, webhooks, message queues, and security tooling.
• Build cloud-native ingestion, normalization, and enrichment pipelines for AI telemetry, model activity, and prompt/response data.
• Implement controls for prompt injection, model access, data leakage, non-human identities, agentic workflows, monitoring, investigation, and response.
• Lead cross-functional delivery, mentor engineers and consultants, troubleshoot production issues, and provide feedback for platform and product roadmaps.

Requirements

• 7+ years of experience in security engineering, AI engineering, platform engineering, forward deployed engineering, solutions consulting, or related technical roles, with progression to a principal or senior consulting level.
• Hands-on experience securing AI systems, LLM applications, or AI production pipelines.
• Experience deploying cloud-native architectures on at least one major cloud provider, such as AWS, Azure, or GCP.
• Strong experience with data integration, telemetry pipelines, normalization, and security analytics workflows for AI systems.
• Direct experience working with customers, executive stakeholders, or cross-functional delivery teams in implementation-focused environments.
• Experience developing technical proposals, statements of work, and engagement scoping documents.
• Strong understanding of prompt injection, model theft, data poisoning, adversarial attacks, agentic AI risks, cloud security, identity security, and endpoint security.
• Experience with scripting and automation using Python, PowerShell, or Bash; APIs, REST, webhooks, and event-driven workflows.
• Working knowledge of LLMs, vector search, retrieval-augmented generation, model evaluation, and AI assistants or agents, plus strong problem-solving skills in ambiguous, fast-moving environments.
• Bachelor’s degree in Computer Science, Information Security, Engineering, or equivalent practical experience.

Nice to have

• Experience integrating OpenAI models, specifically Daybreak Blue and/or Red, or Anthropic models.
• Experience with AI red teaming, adversarial AI testing, or AI governance frameworks including NIST AI RMF, ISO/IEC 42001, or OWASP Top 10 for LLM Applications.
• Familiarity with MITRE ATLAS, regulated environments, infrastructure as code, CI/CD, AI production delivery, reusable implementation frameworks, or field engineering playbooks.
• Cloud, security, or AI certifications.

Culture & Benefits

• Remote full-time role supporting an inclusive culture that values diverse perspectives.
• Medical, dental, and vision insurance for USA employees.
• 401(k), paid company holidays, paid time off, and paid parental and caregiver leave.
• Certification and credential sponsorship, internal development opportunities, and access to a multi-million-dollar technology lab.
• AI tools may support application and interview review; candidates may opt out without penalty.