Senior AI Security Deployment Engineer

AHEAD; United States; On-site; USD 150,000 - 210,000; Full time

Job summary

AHEAD, a leading platform builder for digital business, seeks a Senior Technical Consultant (Forward Deployed Engineer) to deploy and operationalize AI security in customer environments across the US. You will secure AI systems, LLM pipelines, and agentic workflows while partnering with security leads, AI engineers, data scientists, and platform teams to deliver scalable, production-ready solutions.

The role requires 7+ years of security and AI experience, cloud proficiency (AWS/Azure/GCP), and

Qualifications

• 7+ years of 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 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.

Responsibilities

• Serve as the technical engineer for deploying and operationalizing AI security solutions in customer or enterprise environments.
• Support development technical proposals, statements of work, and solution architectures that scope AI security engagements and support business development efforts.
• Translate business, operational, and AI security requirements into deployable architectures and implementation plans.
• Partner with internal and external stakeholders to ensure solutions are aligned to AI governance, compliance requirements, and long-term platform strategy.
• Support engagement leaders during 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 supporting AI systems.
• Develop reusable deployment patterns, templates, and technical assets to accelerate future AI security implementations.
• Operationalize security controls and guardrails for AI systems, including prompt injection defense, model access controls, data leakage prevention, and agentic workflow monitoring.
• Secure non-human identities (NHI), including service accounts, API keys, tokens, and autonomous agent credentials, across AI and agentic workflows.
• Work with AI, detection engineering, and data teams to implement red teaming, adversarial testing, model risk scoring, and anomaly detection for AI systems.
• Help define data requirements, feedback loops, and operational guardrails needed to secure AI systems in production environments.
• Ensure deployed solutions are practical, measurable, and aligned to AI governance and risk objectives.
• Implement secure and governed automation for AI security monitoring, investigation, and response use cases across heterogeneous environments.
• Support resiliency, observability, performance, and scale requirements for deployed AI security solutions.
• Troubleshoot integration issues, deployment blockers, and production challenges in partnership with AI, platform, cloud, and security teams.
• Improve reliability and maintainability through documentation, testing, monitoring, and standardized engineering practices.
• Lead cross-team collaboration across AI Engineering, Security Engineering, Data Science, Infrastructure, Sales, and product or customer teams.
• Communicate technical concepts clearly to both technical and non-technical stakeholders.
• Mentor and develop engineers and consultants, contributing to best practices for AI security implementation, delivery, and technical solution design.
• Provide field feedback to influence platform roadmap, product direction, and architectural standards.

Skills

Security engineering

AI engineering

Platform engineering

Forward deployed engineering

Solutions consulting

Technical leadership

Education

Bachelor's degree in CS/Info Security

Tools

AWS

Azure

GCP

Python

PowerShell

Bash

Job description

AHEAD, a leading platform builder for digital business, seeks a Senior Technical Consultant (Forward Deployed Engineer) to deploy and operationalize AI security in customer environments across the US. You will secure AI systems, LLM pipelines, and agentic workflows while partnering with security leads, AI engineers, data scientists, and platform teams to deliver scalable, production-ready solutions.

The role requires 7+ years of security and AI experience, cloud proficiency (AWS/Azure/GCP), and