Principal Technical Consultant – Forward Deployed Engineer, AI Security

🔥 12 hours ago

🇺🇸 United States – Remote

💵 $200k - $230k / year

⏰ Full Time

🔴 Lead

🤖 AI Engineer

👻 Ghost score 1%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

AHEAD

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

💼 Consulting

🤖 Artificial Intelligence

🏢 Enterprise

💰 $5.7M Venture Round - AHEAD on 2024-05

Consulting • Artificial Intelligence • Enterprise

AHEAD is a technology consulting and systems-integration firm that accelerates digital transformation by engineering integrated solutions across infrastructure, applications, data, and security. The company specializes in AI transformation and AI-enabled infrastructure, data platform and platform/workload modernization, secure and resilient architectures, operational excellence, and managed services including IT lifecycle and procurement (AHEAD Hatch) and hardware integration (AHEAD Foundry). AHEAD delivers end-to-end services from strategy and financial consulting to build and run operations, partners with major cloud and infrastructure vendors (AWS, Google Cloud, Microsoft, Cisco, Dell, VMware, NVIDIA, ServiceNow, Palo Alto Networks, Rubrik, etc. ), and serves enterprise clients across industries such as healthcare, financial services, manufacturing, retail, and public sector.

📋 Description

• Serve as the senior technical lead for deploying and operationalizing AI security solutions in customer or enterprise environments • Develop technical proposals, statements of work, and solution architectures for AI security engagements and business development • Translate business, operational, and AI security requirements into deployable architectures and implementation plans • Partner with stakeholders to align solutions with AI governance, compliance requirements, and long-term platform strategy • Act as a trusted advisor and executive-level point of contact throughout onboarding, implementation, rollout, and optimization • Design and implement integrations across AI platforms, model registries, LLM gateways, vector databases, and AI-enabled security tooling • Build 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 assets • Operationalize AI security controls and guardrails, including prompt injection defense, model access controls, data leakage prevention, and agentic workflow monitoring • Secure non-human identities, including service accounts, API keys, tokens, and autonomous agent credentials • Implement red teaming, adversarial testing, model risk scoring, and anomaly detection for AI systems • Define data requirements, feedback loops, and operational guardrails for production AI systems • Implement governed automation for AI security monitoring, investigation, and response • Support resiliency, observability, performance, and scale requirements • Troubleshoot integration issues, deployment blockers, and production challenges • Improve reliability and maintainability through documentation, testing, monitoring, and standardized engineering practices • Lead collaboration across AI Engineering, Security Engineering, Data Science, Infrastructure, Sales, product, and customer teams • Communicate technical concepts to technical, non-technical, and executive stakeholders • Mentor engineers and consultants and contribute to AI security implementation and solution design best practices • Provide field feedback to influence platform roadmap, product direction, and architectural standards • Represent the practice in pre-sales, proposal development, and client presentations

🎯 Requirements

• 10+ years of experience in security engineering, AI engineering, platform engineering, forward deployed engineering, solutions consulting, or related technical roles, with demonstrated 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 background in data integration, telemetry pipelines, normalization, and security analytics workflows applied to AI systems • Experience working directly with customers, executive stakeholders, or cross-functional delivery teams in implementation-focused environments • Proven experience developing technical proposals, statements of work, and scoping documents for customer engagements • Ability to lead technical engagements, drive execution, and influence outcomes without direct authority • Demonstrated ability to lead cross-team collaboration across engineering, security, data science, and business stakeholders • Bachelor’s degree in Computer Science, Information Security, Engineering, or equivalent practical experience • Preferred: Experience with AI red teaming, adversarial AI testing, or AI governance frameworks such as the NIST AI RMF, ISO/IEC 42001, or the OWASP Top 10 for LLM Applications • Preferred: Familiarity with the MITRE ATLAS knowledge base • Preferred: Experience deploying solutions in regulated or compliance-sensitive environments • Preferred: Familiarity with infrastructure as code, CI/CD workflows, and AI production delivery practices • Preferred: Experience building reusable implementation frameworks or field engineering playbooks • Relevant cloud, security, or AI-specific certifications are a plus

🏖️ Benefits

• Medical, Dental, and Vision Insurance • 401(k) • Paid company holidays • Paid time off • Paid parental and caregiver leave • Sponsoring certifications and credentials for continued learning • Cross department training and development • Multi-million-dollar technology lab • AI application and resume review opt-out options without penalty • Interview recording and transcription opt-out options without penalty