1 day ago
Base Salary
$170k - $200k/yr
Responsibilities
- Deploy and operationalize AI security solutions in customer and enterprise environments.
- Translate business, operational, and AI security requirements into deployable architectures and implementation plans.
- Develop technical proposals, statements of work, solution architectures, and customer engagement scoping documents.
- Design and implement integrations across AI platforms, model registries, LLM gateways, vector databases, security tooling, APIs, webhooks, message queues, and automation workflows.
- Build cloud-native data ingestion, normalization, and enrichment pipelines for AI telemetry, model activity logs, and prompt/response data.
- Implement AI security controls and guardrails, including prompt injection defense, model access controls, data leakage prevention, identity protection, and agentic workflow monitoring.
- Support AI red teaming, adversarial testing, model risk scoring, anomaly detection, monitoring, investigation, and response use cases.
- Troubleshoot deployment and integration issues and improve solution resiliency, observability, performance, reliability, and maintainability.
- Lead cross-team collaboration, mentor engineers and consultants, and provide field feedback for product and platform roadmaps.
Requirements
- 7+ years of experience in security engineering, AI engineering, platform engineering, forward deployed engineering, solutions consulting, or related technical roles, with 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 AWS, Azure, or GCP.
- Strong experience with data integration, telemetry pipelines, normalization, and security analytics workflows for AI systems.
- Experience working directly with customers, executive stakeholders, or cross-functional delivery teams in implementation-focused environments.
- Experience developing technical proposals, statements of work, and customer engagement scoping documents.
- Understanding of AI security risks including prompt injection, model theft, data poisoning, adversarial attacks, and agentic AI risks, along with cloud, identity, and endpoint security fundamentals.
- Experience with scripting and automation using Python, PowerShell, or Bash, and familiarity with REST, webhooks, and event-driven integration patterns.
- Working knowledge of LLMs, vector search, retrieval-augmented generation, model evaluation, and AI assistants or agents.
- Bachelor’s degree in Computer Science, Information Security, Engineering, or equivalent practical experience.
- Preferred qualifications include OpenAI Daybreak Blue or Red integration experience, Anthropic model experience, AI red teaming, adversarial AI testing, AI governance frameworks, MITRE ATLAS, regulated environments, infrastructure as code, reusable implementation frameworks, and relevant cloud, security, or AI certifications.
Benefits
- Medical, dental, and vision insurance.
- 401(k) plan.
- Paid company holidays and paid time off.
- Paid parental and caregiver leave.
- Certification and credential sponsorship and continued learning opportunities.
- The posting describes a compensation range as OTE including base salary and target bonus, but does not state an explicit amount.
Tech Stack
Categories
Forward Deployed
About AHEAD
AHEAD is an IT services and consulting firm that designs, builds, and operates digital platforms for large enterprises across cloud infrastructure, automation, data and analytics, security, and DevOps. It generates revenue through consulting, systems integration, and managed services, including cloud management and operations. Founded in 2007 and headquartered in Chicago, it is privately held and owned by Centerbridge Partners.