Senior Technical Consultant – AI Security

This is a fully remote position, open to applicants in United States.

📋 Description

• Deploy and operationalize AI security solutions within customer and enterprise settings.

• Assist with technical proposals, statements of work, and solution architectures for AI security initiatives.

• Convert business, operational, and AI security requirements into deployable architectures and implementation strategies.

• Ensure solutions align with AI governance, compliance mandates, and long-term platform strategies.

• Aid in the onboarding, implementation, rollout, and optimization processes.

• Design and execute integrations across AI platforms, model registries, LLM gateways, vector databases, and AI-enabled security tools.

• Construct and configure cloud-native data ingestion, normalization, and enrichment pipelines for AI telemetry, model activity logs, and prompt/response data.

• Integrate APIs, webhooks, message queues, and automation workflows across AI operations, identity, cloud, and application ecosystems.

• Develop reusable deployment patterns, templates, and technical resources.

• Operationalize security controls and guardrails for AI systems.

• Safeguard non-human identities in AI and agentic workflows.

• Implement red teaming, adversarial testing, model risk scoring, and anomaly detection.

• Specify data requirements, feedback mechanisms, and operational guardrails for production AI systems.

• Facilitate secure automation for AI security monitoring, investigation, and response.

• Support resiliency, observability, performance, and scalability needs.

• Troubleshoot integration challenges, deployment obstacles, and production issues.

• Enhance reliability and maintainability through documentation, testing, monitoring, and standardized engineering practices.

• Lead collaboration among AI Engineering, Security Engineering, Data Science, Infrastructure, Sales, and product or customer teams.

• Convey technical concepts to both technical and non-technical stakeholders.

• Mentor engineers and consultants.

• Provide field feedback to shape platform roadmap, product direction, and architectural standards.

⛳️ Requirements

• 7+ years of experience in security engineering, AI engineering, platform engineering, forward deployed engineering, solutions consulting, or related technical roles, with a proven track record of progression to a principal or senior consulting level.

• Hands-on experience in securing AI systems, LLM applications, or AI production pipelines.

• Experience in deploying cloud-native architectures on at least one major cloud provider such as AWS, Azure, or GCP.

• Strong background in data integration, telemetry pipelines, normalization, and security analytics workflows tailored to AI systems.

• Experience collaborating directly with customers, executive stakeholders, or cross-functional delivery teams in implementation-oriented settings.

• Demonstrated experience in crafting technical proposals, statements of work, and scoping documents for customer engagements.

• Solid understanding of AI security risks, including prompt injection, model theft, data poisoning, adversarial attacks, and agentic AI risks, as well as foundational cloud, identity, and endpoint security.

• Proficiency in scripting and automation using Python, PowerShell, or Bash.

• Familiarity with REST APIs, webhooks, and event-driven workflows.

• Working knowledge of LLMs, vector search, retrieval-augmented generation, model evaluation, and AI assistants or agents.

• Strong problem-solving capabilities, an execution-oriented mindset, and the ability to thrive in ambiguous, fast-paced environments.

• Bachelor’s degree in Computer Science, Information Security, Engineering, or equivalent practical experience.

• Preferred: Experience with OpenAI models, Anthropic models, AI red teaming, adversarial AI testing, AI governance frameworks, MITRE ATLAS, regulated environments, infrastructure as code, CI/CD, AI production delivery, reusable implementation frameworks, field engineering playbooks, and relevant cloud, security, or AI certifications.

🏝️ Benefits

• Medical, Dental, and Vision Insurance.

• 401(k).

• Paid company holidays.

• Paid time off.

• Paid parental and caregiver leave.

• Cross-department training and development opportunities.

• Sponsored certifications and credentials for ongoing learning.

• Option to opt-out of AI application and resume reviews without penalty.

• Option to opt-out of interview recording and transcription without penalty.