Principal Technical Consultant – Forward Deployed Engineer, AI Security

🕒 Setembro 28

🇺🇸 Estados Unidos – Remoto (EUA)

💵 $200.000 - $230.000 / ano

⏰ Tempo Integral

🔴 Especialista

🤖 Engenheiro de IA

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AHEAD

SiteLinkedInTodas as Vagas

1001 - 5000 funcionários

💼 Consultoria

🤖 Inteligência Artificial

🏢 Corporativo

💰 $5.697.750 Venture Round - AHEAD em 2024-05

Consulting • Artificial Intelligence • Enterprise

Thinkahead é uma empresa de psicologia de capital privado que atua tanto no campo clínico (atendimento particular) quanto no espaço corporativo de consultoria.

Descrição

• 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

🎯 Requisitos

• 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

🏖️ Benefícios

• 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