1 month ago
Base Salary
$200k - $230k/yr
Responsibilities
- Lead the deployment and operationalization of AI security solutions in customer and enterprise environments.
- Develop technical proposals, statements of work, solution architectures, scoping documents, and implementation plans.
- Design and implement integrations across AI platforms, model registries, LLM gateways, vector databases, and AI security tooling.
- Build 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.
- Implement security controls and guardrails for prompt injection defense, model access controls, data leakage prevention, agentic workflow monitoring, and non-human identities.
- Support AI red teaming, adversarial testing, model risk scoring, anomaly detection, monitoring, investigation, and response use cases.
- Troubleshoot deployment and production issues while improving solution reliability, observability, performance, documentation, testing, and maintainability.
- Lead collaboration across AI Engineering, Security Engineering, Data Science, Infrastructure, Sales, product, and customer teams.
- Mentor engineers and consultants, represent the practice in pre-sales activities, and provide field feedback for roadmap and architectural standards.
Requirements
- 10+ 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 at least one major cloud provider, such as 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.
- Proven experience developing technical proposals, statements of work, and customer engagement scoping documents.
- Ability to lead technical engagements, drive execution, influence outcomes without direct authority, and collaborate 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, NIST AI RMF, ISO/IEC 42001, the OWASP Top 10 for LLM Applications, or MITRE ATLAS.
- Preferred experience in regulated or compliance-sensitive environments, infrastructure as code, CI/CD workflows, AI production delivery, reusable implementation frameworks, or 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.
- Company-sponsored certifications and credentials for continued learning.
- Access to a multi-million-dollar technology lab and cross-department training opportunities.
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.