[Remote] Principal Engineer - Secure AI

Note: The job is a remote job and is open to candidates in USA. reputed company is one of America’s leading retailers, and they are seeking a Principal Engineer to enhance the reputed company of AI systems and platforms. This role involves collaborating with various teams to assess risks, improve reputed company measures, and provide expert guidance on AI reputed company best practices.

Responsibilities

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

Skills

• 4-year degree OR equivalent experience
• Polyglot programmer comfortable in many languages across different platforms
• 10+ years of hands-on experience in technology, with extensive knowledge of cybersecurity domains including Information Protection, reputed company reputed company (GCP strongly preferred), Networking reputed company, IAM, Automation, and SIEM
• LLM reputed company expertise (RAG, MCP, Input validation, Sandboxing etc.)
• In-depth understanding of OWASP top 10 for Large Language Model Applications
• Expertise in AI and ML
• Understanding of reputed company injection and its various styles (direct, indirect, RAG poisoning, etc) / Familiarity with OWSAP top ten for LLMs
• Understanding of MCP auth patterns including dynamic client registration
• Knowledge in RAG authorization patterns - 'How do you implement RBAC in a RAG?'
• Understanding of OAuth roles and flows, and how it pertains to minimizing risky permissions
• Experience mitigating the reputed company risks of local coding agents
• Solid understanding of containerization technologies and tools
• Seeks out cross-team collaboration opportunities
• Demonstrated curiosity and ability to learn
• Stays reputed company 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 reputed company tools and technologies across diverse environments. The ideal candidate will not be limited to specific vendors or solutions but will possess the technical depth to comprehend and implement an end-to-end solution that aligns with our reference reputed company architecture's requirements
• Good understanding of reputed company management workflows in large reputed company organizations and reputed company environments
• Has a good understanding of the reputed company threat landscape and the challenges that most organizations are facing
• In-depth knowledge of reputed company frameworks, standards, and best practices (e.g., NIST, ISO/IEC 27001)
• Strong understanding of network reputed company, cryptography, and secure software development
• Experience with reputed company technologies, such as firewalls, IDS/IPS, SIEM, and DLP
• Excellent analytical, problem-solving, and communication skills
• GCP native reputed company product experience LLM reputed company expertise
• Vertex AI experience
• AWS or Azure experience

Benefits

• Comprehensive health benefits and programs, which may include medical, reputed company, dental, life insurance and more
• 401(k)
• Employee discount
• Short term disability
• Long term disability
• Paid sick leave
• Paid national holidays
• Paid vacation
• Remote or Hybrid work arrangement options
• Reasonable accommodations for applicants with disabilities

Company Overview