Overview
Lead Cyber Security AI Architect role at Honeywell
Hybrid Work Module, 3 days from office and 2 days from home (Flexible)
Responsibilities
* Drive Honeywell COE Gen AI strategy. Establish current and未来 state landscape and roadmap with security, safety, and integrity of services.
* Provide Subject Matter Expertise on Generative AI adoption and deployment for cybersecurity for internal architecture, third party integration, and custom models.
* Collaborate with IT, Technical teams, and Business SMEs to define architectural cyber frameworks, standards, and solutions for product engineering.
* Work with researchers, developers, and data scientists to implement and optimize AI/ML models in production environments.
* Perform market research to identify opportunities and technology trends; collaborate with vendors and industry leaders to accelerate adoption of relevant technologies while maintaining cybersecurity.
* Engage with Chiefs, Fellows, and Tech forums to align Cyber across engineering and IT units and maximize cross-leverage of best practices.
* Leverage Honeywell ecosystem to collaborate with universities and startups to evaluate and incubate new ideas; participate in hackathons and crowdsourcing to advance cyber definitions of good.
* Coach and develop cybersecurity researchers, data scientists, leads, pen-testers, and engineering teams.
Must Have
* Overall 10+ years of experience, including 5+ years in cybersecurity identifying risks and developing solutions.
* Solid understanding of ML concepts and algorithms (supervised, unsupervised, deep learning).
* Working knowledge of LLMs (Gemini, Llama, GPT, DALL-E) and frameworks (LangChain) and vector databases (Faiss, Pinecone).
* Ability to articulate and document cybersecurity AI methods; produce guides and instructions.
* Risk management and cybersecurity certifications or relevant experience.
Nice To Have
* Proficiency in Python, R, SQL and AI/ML frameworks (TensorFlow, PyTorch, Scikit-learn).
* Experience in fine-tuning LLMs using LoRA/QLoRA.
* Develop APIs/microservices to support Gen AI/ML apps.
* Strong understanding of cloud platforms (GCP, AWS, Azure) for deploying AI apps.
* Experience scaling AI/ML projects with MLOps for model lifecycle management.
* Ability to analyze complex data, derive insights, and solve problems with innovative solutions.
* Strong communication skills to explain AI/ML concepts to technical and non-technical audiences.
* Understanding of business processes and IT industry standards; track record of AI research innovation and productization.
About Us
Honeywell helps organizations solve the world's most complex challenges in automation, aviation, and energy transition. We provide actionable solutions and innovation through our Aerospace Technologies, Building Automation, Energy and Sustainability Solutions, and Industrial Automation segments – powered by Honeywell Forge software – to make the world smarter, safer and more sustainable.
Seniority level
* Mid-Senior level
Employment type
* Full-time
Job function
* Engineering and Information Technology
Industries
* Appliances, Electrical, and Electronics Manufacturing
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