Principal Technical Consultant – Forward Deployed Engineer (AI Security)

Location: United States; remote

Company

hirify.global delivers customer-facing technology and security solutions, including AI security implementations for enterprise environments.

What you will do

• Lead the deployment and operationalization of AI security solutions in customer and enterprise environments.
• Develop technical proposals, statements of work, solution architectures, and implementation plans for AI security engagements.
• Design integrations across AI platforms, model registries, LLM gateways, vector databases, cloud environments, and AI security tooling.
• Build data ingestion, normalization, enrichment, automation, and telemetry pipelines for AI activity and security data.
• Implement security controls for prompt injection defense, model access, data leakage prevention, agentic workflow monitoring, and non-human identities.
• Lead collaboration with AI engineering, security, data science, infrastructure, sales, product, and customer teams while mentoring engineers and consultants.

Requirements

• 10+ years of experience in security engineering, AI engineering, platform engineering, forward deployed engineering, solutions consulting, or related technical roles.
• Hands-on experience securing AI systems, LLM applications, or AI production pipelines.
• Experience deploying cloud-native architectures on AWS, Azure, or GCP.
• Strong experience with data integration, telemetry pipelines, normalization, and security analytics workflows for AI systems.
• Customer-facing delivery experience, including work with executive stakeholders and cross-functional implementation teams.
• Experience developing technical proposals, statements of work, and scoping documents, and leading technical engagements without direct authority.

Nice to have

• Experience with AI red teaming, adversarial AI testing, or AI governance frameworks such as NIST AI RMF, ISO/IEC 42001, or OWASP Top 10 for LLM Applications.
• Familiarity with the MITRE ATLAS knowledge base.
• Experience with regulated environments, infrastructure as code, CI/CD workflows, or AI production delivery practices.
• Experience building reusable implementation frameworks or field engineering playbooks.
• Relevant cloud, security, or AI certifications.

Culture & Benefits

• Full-time remote work for the United States role.
• USA employment benefits are provided.
• Collaboration spans AI engineering, security engineering, data science, infrastructure, sales, product, and customer teams.

Hiring process

• Candidate-facing discussions may include technical concepts, customer delivery, solution design, and executive communication.
• Interview recording and transcription may be declined, including after joining an interview, without penalty.