Lead Cyber Security AI Engineer

Innovate to solve the worlds most important challenges

Honeywells 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 Honeywells 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:

YOU MUST HAVE

AI/ML Skills:

Proficiency in Python, R, SQL, and common AI/ML frameworks and tools such as TensorFlow, PyTorch, Scikit-learn, etc.

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.

Experience in fine-tuning LLM using LoRA/QLoRA techniques.

Develop APIs and microservices to support Gen AI/ML applications.

Data Skills: