Lead Cyber Security AI Engineer

Honeywell International-posted 3 months ago
Atlanta, GA
Machinery Manufacturing
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Honeywell's Global Security (HGS) and Buildings Automation (BA) lead and influence a dynamic collective of professionals dedicated to refining product development through innovative engineering, strategic component selection, and establishing industry-leading cybersecurity through AI. You will be part of Honeywell's BA team with the AI Cyber Center of Excellence and driving cybersecurity architecture in AI/ML/GEN-AI with a focus on Engineering solutions for endpoint, mobile, cloud, and standalone products. You will be first a risk and cybersecurity professional with deep practical experience in testing, designing architecture, and product innovations with AI/ML/GEN-AI. You will be responsible to develop the definition of good through hands-on cyber testing, architecture design. In addition, you will work with the CPSO of BA to develop an Engineering Gen AI strategy & roadmap; perform market research; partner with strategic vendors and incubate new technologies, ideas and techniques that will ensure BA and Honeywell are able to leverage the latest and the best in the industry; and continue to be cybersecure. You will also need to leverage existing Honeywell Technology ecosystem; Experts, CoPs and other Tech Forums to ensure adoption of best practices & ideas.

  • Drive Honeywell COE Gen AI strategy.
  • Establish current and future state landscape & roadmap with deep consideration of security, safety, and integrity of services.
  • Provide Subject Matter Expertise on Generative AI adoption and impactful deployment for cybersecurity for internal architecture, third party integration, and custom models.
  • Collaborate with IT, Technical teams, Business SMEs for defining architectural cyber frameworks, common standards and solutions for product engineering.
  • Work closely with researchers, developers, and data scientists to implement and optimize AI/ML models in production environments.
  • Perform Market Research to identify new opportunities, ideas and technology trends for adoption.
  • Collaborate with Vendors and Industry leaders to accelerate adoption of latest technology trends and ideas that have strong business impact.
  • Engage with Chiefs, Fellows, other Tech talents and Tech forums to bring alignment of Cyber across SBGs of engineering and IT and maximize cross leverage of best practices/ideas.
  • Leverage existing BA and Honeywell ecosystem to collaborate and partner with Universities and Startups to accelerate New Idea evaluation and incubation.
  • Participate in hackathons, and crowd sourcing platforms effectively to progress on cyber ‘definition of good'.
  • Coach & develop next set of Cyber Researchers, Data Scientists, Leads, Pen-Testers, and Engineering teams.
  • Overall 10+ years of experience, out of which 5+ years of experience in cyber security identifying security risks, identifying best practices, and developing solutions.
  • Solid understanding of machine learning concepts and algorithms, including supervised and unsupervised learning, deep learning etc.
  • Working knowledge in LLM models like Gemini, Llama, GPT, DALL-E and frameworks like LangChain & Vector databases like Faiss, Pinecone etc.
  • Ability to articulate, document, and produce guides, instruction, and present cybersecurity AI methods and techniques.
  • Risk management and cybersecurity certifications and or experience.
  • Proficiency in Python, R, SQL, and common AI/ML frameworks and tools such as TensorFlow, PyTorch, Scikit-learn, etc.
  • Experience in fine-tuning LLM using LoRA/QLoRA techniques.
  • Develop APIs and microservices to support Gen AI/ML applications.
  • Strong understanding of cloud platforms, particularly GCP, AWS, Azure, for deploying AI applications.
  • Demonstrated experience in scaling AI/ML projects using MLOps practices for model lifecycle management.
  • Ability to analyze complex data sets, derive insights, and solve sophisticated problems with innovative solutions.
  • Strong communication and presentation skills, with the ability to explain complex AI/ML concepts and results to both technical and non-technical audiences.
  • Strong understanding of Business Process, IT Industry Standards.
  • Track record of innovation and leadership in productizing AI research.
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