Senior AI Security Engineer

Optima Global Solutions Inc.is a valuable IT Services and Solution provider that customers, employees, and stakeholders feel proud to be associated with. Optima's Intelligent Automation Solutions leverage robotic process automation, intelligent data capture, and business process management best practices to streamline operations. Our IT Services practice provides organizations with highly personalized, comprehensive, U.S. based recruiting services supported by our internal onsite team of subject matter experts.

Currently, we are hiring for the following position;

Senior AI Security Engineer

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 OTI's 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.

MANDATORY SKILLS/EXPERIENCE
Note: Candidates who do not have the mandatory skills will not be considered.

Bachelor's degree in computer science, electrical or computer engineering, statistics, econometrics, or related field, or equivalent work experience
12 years of hands-on experience in cybersecurity or information security.
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 (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 ability (expertise preferred) 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 Client and expert audiences.
Ability to stay updated on the latest developments, trends, and best practices in both software testing and artificial intelligence.

Interested candidates, please apply online with a detailed resume and contact information.

Thank you.
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