Top 53 Vector embedding red teaming Jobs

Senior Security AI Engineer
Imperial PFS —Kansas City, MO
- Full-time
- 7 years
- Senior level
- Leadership
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Senior Software Engineer, Agentic AI
Invicti Security —Boston, MA
- Full-time
- Remote
- 5 years
- System design
- AWS
- Health insurance
- Dental insurance
Quick Apply
Expert Senior Manager, AI Engineering
Bain & Co. —Boston, MA
- $258,000 - $293,500 a year
- Full-time
- System design
- Continuous improvement
- Product management
- Wellness program
- Paid holidays
Quick Apply
AI Platform and Applications Engineer
National Endowment for Dem —Washington, DC
- $103,000 - $185,000 a year
- Full-time
- Hybrid work
- Computer Science
- Senior level
- 2 years
- Health insurance
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Research Scientist - Simplex
Astera Institute —California
- $140,000 - $200,000 a year
- Full-time
- Math
- Doctor of Philosophy
- Neurology
Senior AI Developer
Gene by Gene —Houston, TX
- Full-time
- Hybrid work
- Computer science
- Computer Science
- 3 years
- Health savings account
- Disability insurance
Quick Apply
11d
Staff AI/ML Engineer, MyHealthTeam
MyHealthTeam —Remote
- $240,000 - $260,000 a year
- Remote
- System design
- HIPAA
- Mentoring
Senior LLM/AI Platform Engineer
Peraton —Annapolis Junction, MD
- $112,000 - $179,000 a year
- Computer science
- 7 years
- Computer Science
- Health savings account
- Paid holidays
AI Engineer
INFOSYS NOVA HOLDINGS LLC —Charlotte, NC
- System design
- Mentoring
- Senior level
Quick Apply
9d
Staff Software Engineer, Agentic AI — Nexus
Arlo Technologies, Inc. —Milpitas, CA
- $175,000 - $225,000 a year
- Full-time
- System design
- Databases
- 8 years
Senior Principal AI Architect/Engineer
PepsiCo —Plano, TX
- $123,500 - $206,750 a year
- Azure
- Computer Science
- Salesforce
- Paid parental leave
- Health insurance
Security Solutions Principal - AI Security
World Wide Technology Holding, LLC —Remote
- $153,200 - $191,500 a year
- Full-time
- Azure
- System design
- AWS
- Profit sharing
- Wellness program
Expert Senior Manager, AI Engineering
Bain & Company Inc —Atlanta, GA
- $258,000 - $293,500 a year
- Full-time
- System design
- Continuous improvement
- Product management
- Wellness program
- Paid holidays
VP, Head of Responsible AI
EXL Service —New York, NY
- $205,000 - $275,000 a year
- Full-time
- Hybrid work
- 11+ years
- Bachelor's degree
- Machine learning
AI Platform Architect
Troon —Scottsdale, AZ
- Computer Science
- System design
- Office
Quick Apply
8d
Staff AI Agentic Security Engineer
Bridgewater Associates —New York, NY
- $450,000 - $600,000 a year
- Full-time
- Azure
- System design
- Research
Lead AI Software Engineer
Streamline Healthcare Solutions —Illinois
- $150,000 - $200,000 a year
- Full-time
- Computer Science
- Software troubleshooting
- HIPAA
Associate Director, AI/ML Engineering
Acadia Pharmaceuticals Inc. —San Francisco, CA
- $159,000 - $199,000 a year
- Hybrid work
- Computer science
- 7 years
- Computer Science
- Paid parental leave
- Employee stock purchase plan
10d
Senior Software Engineer, AI Agents (Autonomous Systems) — Gaia
Gaia —Louisville, CO
- $75,000 - $90,000 a year
- Full-time
- Azure
- System design
- Office
- Health insurance
- Dental insurance
Senior, Agentic AI Engineer
American Bureau of Shipping (ABS) —Houston, TX
- Full-time
- Computer Science
- System design
- 3 years

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Senior Security AI Engineer

Imperial PFS -
Kansas City, MO

Quick Apply

Job Details

Full-time

Qualifications

7 years
Senior level
Leadership
Communication skills

Full Job Description

Job Summary:

We are seeking a Senior Security AI Engineer to strengthen our cybersecurity posture across cloud, on-premises, and AI-enabled systems. This role is ideal for someone who combines deep technical security expertise with a forward-looking understanding of AI risks, governance, and secure deployment practices. You will design, implement, and maintain security controls that protect sensitive financial data, ensure regulatory compliance, and reduce enterprise risk in an evolving threat landscape.

Key Responsibilities

Security Architecture & Engineering

Design, implement, and maintain security controls across cloud, on-premises, and hybrid environments.

Lead threat modeling, secure design reviews, and architecture assessments for new and existing systems.

Develop and maintain secure configurations, baselines, and hardening standards (OS, cloud, network, identity).

Partner with DevOps and engineering teams to embed security into CI/CD pipelines.

AI Security & Governance

Evaluate and secure AI/ML systems, including LLMs, model pipelines, and data flows.

Implement controls for model access, data privacy, prompt injection prevention, model poisoning, and supply chain risks.

Establish AI governance practices aligned with NIST AI RMF, ISO/IEC 42001, and emerging regulatory requirements.

Assess third-party AI tools for security and compliance risks.

Threat Detection & Response

Enhance detection capabilities across SIEM, EDR/XDR, cloud telemetry, and identity systems.

Lead investigations into complex security incidents, including zero-day exploitation and advanced persistent threats.

Develop playbooks, automation, and response workflows to reduce detection and response times.

Risk Management & Compliance

Align security controls with frameworks such as NIST CSF, NIST 800-53, CIS Controls, ISO 27001, PCI DSS, and FFIEC.

Conduct risk assessments, gap analyses, and control maturity evaluations.

Support audits, regulatory reviews, and evidence collection.

Vulnerability & Attack Surface Management

Lead vulnerability management, penetration testing coordination, and remediation prioritization.

Implement and maintain CAASM/EASM tooling to identify shadow IT, unknown assets, and external exposures.

Partner with infrastructure teams to ensure timely patching and configuration compliance.

Collaboration & Leadership

Mentor junior engineers and guide cross-functional teams on secure engineering practices.

Communicate risks and recommendations clearly to technical and non-technical stakeholders.

Drive continuous improvement of security processes, tooling, and automation.

Produce architecture patterns and policies, and provide strategic guidance to engineering and leadership.

Required Skills & Experience

Candidates must have proven experience in the following areas:

AI threat modeling, model governance, and data protection.

Securing MLOps/LLMOps pipelines and implementing guardrails and monitoring.

Leading AI red teaming engagements and integrating AI telemetry into security operations.

Ensuring compliance with privacy and regulatory requirements.

Using automation and tooling to monitor, detect, and respond to AI threats at scale.

Understanding how models are trained, fine-tuned, evaluated, and deployed.

Interpreting evaluation metrics and reasoning about model drift.

Knowledge of base vs. fine-tuned models, zero-shot and few-shot behavior, embeddings and similarity search, and supervised vs. reinforcement learning.

Required Qualifications

7+ years of experience in cybersecurity engineering, architecture, or related roles.

Strong knowledge of cloud security (AWS, Azure, or GCP).

Expertise in identity and access management, network security, encryption, and secure coding practices.

Hands-on experience with SIEM, EDR/XDR, vulnerability scanners, and cloud-native security tools.

Deep experience in security architecture, cloud platforms, data security, and AI/ML systems.

Background in identity and access management, network segmentation, application security, API hardening, securing containers and Kubernetes clusters, and protecting secrets and access tokens.

Strong communication skills, cross-functional leadership ability, and familiarity with AI Risk and Governance Frameworks.

Familiarity with AI/ML systems and defenses against threats including prompt injection, data poisoning, model extraction, and adversarial attacks.

Preferred Qualifications

Experience securing LLMs, vector databases, model APIs, and AI agents.

Knowledge of NIST AI RMF, ISO/IEC 42001, EU AI Act, or similar AI governance frameworks.

Certifications such as CISSP, CCSP, OSCP, GIAC, or cloud security certifications.

Experience with IaC security (Terraform, CloudFormation), container security, and Kubernetes.

Familiarity with zero trust architectures and identity-centric security models.

What We're Looking For

The ideal candidate is fluent in the architecture of AI systems — how data flows, what components are attack surfaces, and how to secure integration points. They ask the right questions to ensure a strong risk and defense posture and can translate complex technical risks into clear guidance for both engineering teams and executive leadership.

Quick Apply

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