Senior Technical Consultant – AI Security

🔥 1 minute ago

🇺🇸 United States – Remote

💵 $170k - $200k / year

⏰ Full Time

🟠 Senior

👮‍♂️ Cybersecurity / Security Engineer

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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

• Deploy and operationalize AI security solutions in customer and enterprise environments • Support technical proposals, statements of work, and solution architectures for AI security engagements • Translate business, operational, and AI security requirements into deployable architectures and implementation plans • Align solutions with AI governance, compliance requirements, and long-term platform strategy • Support onboarding, implementation, rollout, and optimization phases • 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 security controls and guardrails for AI systems • Secure non-human identities across AI and agentic workflows • Implement red teaming, adversarial testing, model risk scoring, and anomaly detection • Define data requirements, feedback loops, and operational guardrails for production AI systems • Implement secure 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, and product or customer teams • Communicate technical concepts to technical and non-technical stakeholders • Mentor engineers and consultants • Provide field feedback to influence 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 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 • Strong understanding of AI security risks, including prompt injection, model theft, data poisoning, adversarial attacks, and agentic AI risks, alongside foundational cloud, identity, and endpoint security • Experience with 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 skills, execution mindset, and ability to operate effectively in ambiguous, fast-moving 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 • Sponsored certifications and credentials for continued learning • AI application and resume review opt-out without penalty • Interview recording and transcription opt-out without penalty

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