AI Engineer cyber security and security

Duration: 12 months – highly likely to be extended through 24 months based on performance & project need

This team is influencing AI Transformation from the Application Security space. This resource will provide tools to drive cyber remediation with machine learning and generative AI frameworks.

• Hands on experience building AI programs from scratch
• Must have AI Engineering experience deploying AI tools in the Cyber and/or App Sec domain
• Must have hands on AI/ML SDLC experience in an enterprise level environment
• Must have expertise with LLMs and Natural Language Processing (NLP) - must be highly skilled with performance optimization around AI models
• Expertise with Python Development
• Senior level programming experience with Java or .NET
• Must have hands on experience with Model Context Protocol (MCP) and Integrated Development Environments (IDE)
• Hands on Prompt Engineering experience
  
  Experience building AI agents
• Experience collaborating with cross functional teams and high-level stakeholders
• Excellent strategic thinking and communication skills

• Coding and Model building in Python
• Build and train AI models related to Natural Language Processing (NLP)
• Influence AI behavior utilizing Model Context Protocol (MCP)
• Utilize Model Context Protocol (MCP) for code remediation
• Performance Optimization around AI models
• Integration and Deployment with programing languages such as .NET or Java
• Utilize Integrated Development Environments (IDE) for coding and debugging
• Collaborate with cross functional teams and high-level stakeholders

Skills:

cyber, natural language, protocol, java, context, cybersecurity, ai, natural language processing, nlp, gen, aiml, secuity, language processing, ai engineering