Lead Cyber Security AI Engineer

Lead Cyber Security AI Engineer

Innovate to solve the world's most important challenges

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 professionals 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 continues 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

KEY RESPONSIBILITIES:

• 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

YOU MUST HAVE:

• 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

 NICE TO HAVE:

•  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