AWSAzureCloudPythonAIMLGenerative AIGenAILarge Language ModelsClaudeRAGAgenticSageMakerBedrockSaaSCommunicationCloud Security
About this role
Role Overview
Advise on and assess the security posture of AI/ML systems, including LLMs, GenAI pipelines, and model serving infrastructure
Lead threat modeling exercises specific to AI workloads
Advise internal teams on securely integrating SaaS AI services and APIs
Evaluate and recommend controls for data ingestion pipelines, RAG architectures, and vector databases
Serve as a trusted security advisor bridging business stakeholders, AI/ML engineers, IT operations, and information security teams
Continuously track emerging AI security research, adversarial techniques, regulatory developments, and vendor security advisories
Produce and maintain security architecture documentation, risk assessments, control frameworks, and guidelines tailored to the organization's AI environment
Contribute to the development of a long-term AI security strategy
Develop and deliver training and awareness content for technical and non-technical stakeholders on AI-specific risks
Requirements
5+ years of experience in security engineering with a significant focus on cloud security and/or AppSec
Hands-on experience implementing, managing, securing, and supporting Agentic AI solutions within an enterprise context
Familiarity with major cloud service provider AI-focused services such as AWS Bedrock, AWS SageMaker, Azure AI Foundry, or Google Vertex
Proficiency in at least one relevant programming language, preferably Python
Solid understanding of generative AI concepts, Large Language Models (LLMs), context engineering, agentic tool usage, and foundational AI/ML principles
Deep knowledge and real operational experience in the usage of Agentic Coding assistants like Claude Code, Open Code, Cursor, or Codex
Strong written and oral communication and interpersonal skills, with the ability to explain complex technical concepts to both technical and non-technical audiences
Demonstrated experience applying security principles to AI implementations, including data protection, access controls, and threat modeling for AI systems
Understanding of AI-specific security challenges including prompt injection, data poisoning, supply chain security, and model extraction attacks
Tech Stack
AWS
Azure
Cloud
Python
Benefits
Group Medical Insurance options: Zero Deductible PPO Plan
Group Dental Insurance: GuidePoint pays 100% of the premium for employees and 75% of family plans
12 corporate holidays and a Flexible Time Off (FTO) program
Healthy mobile phone and home internet allowance
Eligibility for retirement plan after 2 months at open enrollment