Cybersecurity Gen AI

Position: Senior AI/GenAI Security Engineer Lev.3

Work Location: Hybrid Work Model (3 Days On-site is Must)

Duration: 12 months (35 hours/week)

Last Day for Submission: 08/14/2025 (Aug 14, 2025) EOB

Local or Nearby Consultants only

Resource Must provide Three (3) Professional References ; Work Authorization & Valid Photo ID

Pointer for shortlisting:Resource MUST HAVE Expert level Testing experience to Evaluate the behavior and performance of the AI algorithms and models

Scope of Services and Tasks:

• Design, implement, and execute test approaches to GenAI systems (MyCity Chatbot) to identify security flaws, particularly those impacting confidentiality, integrity, or availability of information.
• Perform various types of tests such as functional testing, regression testing, performance testing, and usability testing to evaluate the behavior and performance of the AI algorithms and models.
• Create, implement, and execute test plans and strategies for evaluating AI systems, including defining test objectives, selecting suitable testing methods, and identifying test scenarios.
  
• Document test methods, results, and suggestions in clear and brief reports to stakeholders.
• Perform security assessments including creating updating and maintaining threat models and security integration of Gen AI platforms. Ensure that security design and controls are consistent with OTIs security architecture principals.
• Design security reference architectures and implement/configure security controls with an emphasis on GenAI technologies.
• Provide AI security architecture and design guidance as well as conduct full-stack architecture reviews of software for GenAI systems and platforms.
• Serve as a subject matter expert on information security for GenAI systems and applications in cloud/vendor and on-prem environments.
• Discuss AI/ML concepts proficiently with data science and ML teams to identify and develop solutions for security issues.
• Collaborate with engineering teams to perform advanced security analysis on complex GenAI systems, identifying gaps and contributing to design solutions and security requirements.
• Identify and document defects, irregularities or inconsistencies in AI systems and working closely with developers to rectify and resolve them.
• Ensure the quality, consistency and relevance of data used for training and testing AI models (includes collecting, preprocessing and validating data)
• Assess AI systems for ethical considerations and potential biases to make sure they follow ethical standards and encourage inclusivity and diversity.
• Collaborate with diverse teams including developers, data scientists, and domain experts to understand requirements validate assumptions and align testing efforts with project goals.
• Conducting research to identify vulnerabilities and potential failures in AI systems.
• Design and implement mitigations, detections, and protections to enhance the security and reliability of AI systems.
• Perform model input and output security including prompt injection and security assurance.

Must have Skills:

• 12+ years of hands-on experience in GenAI and Cybersecurity or Information Security.
• Must have expertise Design, implement, and execute test approaches to GenAI systems (Chatbot) to identify security flaws, impacting confidentiality, integrity.
• Expert level experience to Create, implement, and execute test plans and strategies for evaluating AI systems
• 4+ years of experience programming with demonstrated advanced skills with Python and the standard ML stack (TensorFlow/Torch, NumPy, Pandas, etc.)
• 4+ years of experience with Natural Language Processing (NLP) and Large Language Models (

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  LLM) desired
• 4+ years of experience working in Cloud environment (Azure, AWS, Google Cloud Platform)
• Demonstrated proficiency with AI/ML fundamental concepts and technologies including ML, Deep learning, NLP, and computer vision.
• Demonstrated expertise in attacking GenAI products and platforms.
• Demonstrated recent experience with large language models.
• Demonstrated experience with using AI testing frameworks and tools such as TensorFlow or PyTorch, or Keras
• Demonstrated ability to write test scripts, automate test cases, and analyze test results using programming languages and testing frameworks listed above.
• Demonstrated ability to Identify and document defects, irregularities or inconsistencies in AI systems and working closely with developers to rectify and resolve them.
• Ability to work independently to learn new technologies, methods, processes, frameworks/platforms, and systems.
• Excellent written and verbal communication skills to articulate challenging technical concepts to both lay and expert audiences.
• Ability to stay updated on the latest developments, trends, and best practices in both software testing and artificial intelligence.
• Bachelor s degree in computer science, electrical or computer engineering, statistics, econometrics, or related field, or equivalent work experience

Desired Skills:

• Excellent problem-solving and critical thinking skills with attention to detail in an ever-changing environment.
• Background in designing and implementing security mitigations and protections and/or publications in the space
• Currently participating in CTF/GRT/AI Red Teaming events and/or bug bounties developing or contributing to OSS projects.
• Understanding of ML lifecycle and MLOps.
• Perform various types of tests such as functional testing, regression testing, performance testing, and usability testing to evaluate the behavior and performance of the AI algorithms and models
• Ability to ensure the quality, consistency and relevance of data used for training and testing AI models (includes collecting, preprocessing and validating data)
• Ability to assess AI systems for ethical considerations and potential biases to make sure they follow ethical standards and encourage inclusivity and diversity
• Ability work in and provide technical leadership to cross-functional teams to develop and implement AI/ML solutions, including capabilities that leverage LLM technology