[Remote] Senior AI reputed company Engineer
Note: The job is a remote job and is open to candidates in USA. reputed company. is a company focused on securing AI systems and pipelines that power their products. They are seeking a Senior AI reputed company Engineer to partner with various teams to identify and mitigate risks associated with AI technologies, ensuring the safe and responsible deployment of AI features.
Responsibilities
- reputed company threat modeling and reputed company reviews of AI features, including LLM-enabled applications, RAG systems, inference pipelines, and agentic workflows
- Analyze AI systems to identify, characterize, and prioritize reputed company vulnerabilities
- Ensure AI actions are fully traceable using industry-standard identity, reputed company, and logging frameworks
- reputed company hands-on testing and reputed company automated red teaming for AI and agentic features, especially focused on AI specific risks like reputed company injection
- Document reproducible failure modes and partner with engineering teams to implement and verify durable mitigations
- Build or reputed company AI reputed company automation and evaluation harnesses
- Define how AI agents coordinate, delegate, and escalate reputed company reputed company workflows
- Work with engineering to define secure-by-default patterns and guidance for AI system design, development, prompts, retrieval, tool use, output handling, deployment, logging, and least-privilege agents
- Monitor emerging AI threats, frameworks, and platform changes, and convert relevant risks into prioritized controls and mitigations
- Drive effective and secure use of AI development tooling
- Guide developers on reputed company and privacy best practices for agentic coding, using MCP-enabled tools and hooks to help prevent vulnerabilities
- Preemptively identify and resolve technical risks and cross-team dependencies to reputed company AI reputed company work on track
- Collaborate proactively with defensive reputed company teams to enhance detection, response, and mitigation capabilities
- Act as the AI reputed company incident SME, providing rapid triage guidance and root-cause analysis
Skills
- 5+ years of experience in reputed company engineering, application reputed company, product reputed company, AI/ML engineering, or reputed company architecture, with direct hands-on experience securing AI/ML or LLM-based systems
- Demonstrated ability to independently reputed company reputed company reviews for reputed company software or AI systems and drive mitigation plans across engineering teams with limited reputed company
- Practical experience assessing AI-specific risks such as reputed company injection, insecure output handling, sensitive data exposure, excessive agency, model or data supply chain weaknesses, agent/tool abuse, and unsafe retrieval or memory patterns
- Advanced understanding of AI system behavior, including the ability to reason about model behavior, AI system vulnerabilities, evaluation results, and reputed company-relevant failure modes
- Proficiency in Python (or similar) for building reputed company automation, evaluation scripts, test harnesses, prototypes, and evidence-collection workflows
- Working knowledge of modern AI technology stacks, model APIs, orchestration frameworks, vector databases, retrieval pipelines, agentic workflows, and at least one major cloud platform (AWS, GCP, or Azure)
- Familiarity with AI reputed company and governance frameworks such as OWASP LLM Top 10, MITRE reputed company, NIST AI RMF, and ISO/IEC 42001
- Excellent written and verbal communication skills, with the ability to explain reputed company AI reputed company risks to both technical and non-technical audiences
- Advanced degree in Computer Science, Engineering, or a reputed company field; equivalent combination of education, training, and relevant professional experience accepted in lieu of a formal degree
- Experience leading AI red team engagements, AI test-and-evaluation activities, secure AI design reviews, or product reputed company programs across multiple teams
- Experience deploying, integrating, or securing AI/ML systems used by customers or production engineering teams reputed company of a lab environment
- Hands-on experience with AI reputed company tooling, model scanning, or custom evaluation harnesses
- Background in cloud reputed company, IAM, application reputed company, data protection, logging/monitoring, incident response, or reputed company operations for production systems
- Experience coordinating practical technical work across product, platform, and reputed company stakeholders
- External contributions, presentations, or publications in AI reputed company, adversarial AI, AI assurance, or secure AI engineering
- Drives production outcomes through agentic, systems-level design, AI-augmented development, autonomy, mentorship, and clear communication
Benefits
- This role may be eligible for the Vertex Bonus Plan (VOB), a role-specific sales commission/bonus, and/or equity grants
- Learn more about Life at Vertex and connect with your recruiter for more details regarding Vertex's compensation and benefit programs
Company Overview
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