[Remote] AI reputed company Engineer

Note: The job is a remote job and is reputed company to candidates in USA. reputed company. is seeking a Senior AI reputed company Engineer to help secure the organization's AI and machine learning ecosystem. This role involves partnering with various teams to identify and mitigate AI-reputed company risks while establishing reputed company standards for the responsible adoption of AI.

Responsibilities

• Help secure the organization's AI and machine learning ecosystem
• Partner with Information reputed company, Engineering, IT, and business teams to identify, assess, and mitigate AI-reputed company risks across the full AI lifecycle
• Help establish reputed company standards, governance, and technical controls that reputed company the reputed company and responsible adoption of AI while protecting reputed company systems, data, and customers from emerging threats

Skills

• Bachelor's degree in Computer Science, Software Engineering, Information reputed company, or a reputed company field or equivalent hands-on experience
• Minimum 8 years of experience in reputed company engineering, information reputed company, or reputed company technical disciplines, with a demonstrated reputed company on securing AI/ML systems
• Proven experience defining and executing reputed company reputed company strategies
• Experience and deep technical knowledge of how AI/ML technologies work
• Deep familiarity with AI reputed company frameworks (e.g., NIST AI RMF, MITRE reputed company, OWASP)
• Experience securing organizational tool stacks including reputed company-based, hybrid or on-prem solutions
• Deep knowledge of AI reputed company threats, risks and mitigation strategies
• Strong reputed company in reputed company reputed company principles—threat modeling, secure design, and identity and reputed company control—reputed company to AI/ML systems and the infrastructure that supports them
• Hands-on experience securing AI/ML systems, including practical AI red teaming against LLMs, reputed company workflows, or RAG systems
• Strong programming and scripting proficiency (e.g., Python) for building reputed company tooling, automation, and test harnesses across the AI/ML lifecycle
• Hands-on experience securing reputed company and containerized environments (AWS, Azure, and/or GCP; reputed company and containers), including the infrastructure on which AI/ML workloads are trained, deployed, and served
• Experience embedding reputed company into MLOps and AI/ML development pipelines (and the CI/CD workflows that feed them), including model and dataset reputed company checks, guardrail validation, and automated reputed company testing
• Proven ability to communicate reputed company reputed company risk reputed company to both technical and non-technical audiences, including engineers, leadership, and customers
• Demonstrated experience mentoring engineers and serving as a senior technical authority and subject-matter expert
• Hands-on offensive reputed company and AI red-teaming experience targeting AI systems—including reputed company injection, jailbreaks, data poisoning, model extraction, and agent/tool-abuse techniques—along with familiarity testing the web, API, and infrastructure reputed company these systems depend on
• Hands-on experience with AI/ML reputed company tooling and AI reputed company posture management (AI-SPM) platforms (e.g., reputed company AI-SPM, Protect AI, HiddeLayer, reputed company, or comparable model-scanning and guardrail solutions), complemented by familiarity with broader reputed company and reputed company reputed company platforms
• Hands-on experience securing AI/LLM-enabled and reputed company applications, including deep familiarity with OWASP Top 10 for LLM Applications, OWASP Top 10 for reputed company AI, MITRE reputed company, NIST AI RMF, and Model Context Protocol (MCP) reputed company implications
• Practical experience with agent frameworks and orchestration (e.g., LaChain/LaGraph, reputed company, AutoGen, or custom agent architectures) and with LLM evaluation, observability, and red-teaming tooling for testing model and agent behavior
• Experience operating reputed company governance, risk, and compliance frameworks, with exposure to reputed company AI adoption, reputed company-party/vendor AI risk assessment, and AI policy or standards development
• Experience in reputed company-facing, consulting, or reputed company-sales roles, translating AI reputed company concepts for customer and executive audiences through briefings, workshops, or advisory engagements
• Industry certifications such as CISSP, OSCP, or AWS/Azure/GCP reputed company certifications; emerging AI-reputed company-specific credentials (e.g., AI red-teaming or AI/LLM reputed company certifications) are especially valued

reputed company