Lead Engineer - AI Security

Target • Brooklyn Park, NC

20h • Hybrid

About The Position

As a Lead Engineer on the AI Security team, you’ll collaborate with technical and leadership teams across Target Tech to assess, validate, and continuously improve the security of AI systems and platforms. You will identify security risks and gaps in existing AI implementations, evaluate the effectiveness of security controls and mitigations, perform architectural and technical reviews, and provide actionable recommendations to strengthen the overall security posture of AI solutions. This role is highly technical, requiring deep expertise in AI security, threat modeling, security controls, testing methodologies, and industry standards. You will serve as a trusted advisor and hands-on expert, helping teams identify emerging risks, validate security assumptions, and drive continuous improvements as AI capabilities are deployed, scaled, and evolved across the enterprise. Beyond the deep technical expertise, you have great interpersonal skills: our Lead Engineers are called upon to collaborate across the enterprise and have exceptional communication skills that enable open and cooperative partnerships.

Requirements

• 4-year degree or equivalent experience
• Software developer comfortable in several programming languages across different platforms
• 7+ years of hands-on experience in technology, with deep knowledge of multiple cybersecurity domains including Information Protection, Cloud Security (GCP strongly preferred), Networking Security, IAM, Automation, and SIEM
• LLM Security expertise (RAG, MCP, input validation, sandboxing etc.)
• In-depth understanding of OWASP Top 10 for Large Language Model Applications
• Solid understanding of AI and ML
• Understanding of prompt injection and its various styles (direct, indirect, RAG poisoning, etc.)
• Knowledge of MCP authentication patterns including dynamic client registration
• Knowledge of RAG authorization patterns
• Experience mitigating the security risks of local coding agents
• Solid understanding of containerization technologies and tools
• Seeks out cross-team collaboration opportunities
• Demonstrates curiosity and ability to learn
• Stays current on relevant technologies with self-directed learning
• Excellent written and verbal interpersonal skills with strong presentation abilities
• Proven history of effectively utilizing a variety of security tools and technologies across diverse environments.
• Good understanding of security management workflows in large enterprise organizations and complex environments
• Good understanding of the current threat landscape and the challenges that most organizations are facing
• In-depth knowledge of security frameworks, standards, and best practices (e.g., NIST, ISO/IEC 27001)
• Strong understanding of network security, cryptography, and secure software development
• Experience with security technologies, such as firewalls, IDS/IPS, SIEM, and DLP
• Excellent analytical, problem-solving, and communication skills

Nice To Haves

• GCP native security product experience
• Commercial security product experience
• LLM Security expertise
• Vertex AI experience
• AWS or Azure experience

Responsibilities

• Collaborate with AI platform, product, and engineering teams to evaluate the security posture of AI systems throughout their lifecycle
• Define and evaluate security assessment methodologies, testing frameworks, and assurance standards for AI technologies
• Develop and execute security validation strategies for AI systems, including threat modeling, attack simulation, and adversarial testing
• Conduct deep technical reviews of AI products, platforms, and architectures to identify opportunities for security improvement
• Partner with engineering teams to validate secure deployment patterns for AI workloads across cloud and hybrid environments
• Assess AI architectures, models, agents, and supporting infrastructure to identify security risks, vulnerabilities, and design weaknesses
• Evaluate the effectiveness of existing security controls, guardrails, and mitigations protecting AI applications and platforms
• Perform hands-on security analysis and testing of complex AI-enabled systems, identifying gaps in architecture, implementation, and operational controls
• Recommend risk mitigation strategies and prioritized remediation plans to improve the security and resilience of AI systems
• Provide expert guidance on AI security best practices, including model security, prompt injection defenses, agent security, supply chain security, and data protection
• Prioritize high-impact security improvements that measurably reduce risk while enabling innovation and business objectives
• Identify emerging AI-specific threats, attack techniques, and vulnerabilities, and communicate their potential business impact
• Collaborate with security, architecture, and engineering teams to continuously improve AI security controls and governance practices
• Efficiently assess and communicate security risks to stakeholders, balancing technical realities, business priorities, and organizational objectives
• Serve as a trusted advisor on AI security, helping teams make informed decisions as AI capabilities evolve across the enterprise

Benefits

• Comprehensive health benefits and programs (medical, vision, dental, life insurance)
• 401(k)
• Employee discount
• Short term disability
• Long term disability
• Paid sick leave
• Paid national holidays
• Paid vacation

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: Associate degree