Advanced AI Software Engineer
Honeywell
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- Location
- Phoenix, AZ
- Work style
- Hybrid
- Job type
- Full time
- Posted
- Oct 14
- 5 days ago
Career path
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About the company
Honeywell
Electrical/electronic manufacturing · 10,001+ employees
What you'll do
- Design, develop, deploy, and own advanced AI/ML and Generative AI capabilities for enterprise software applications and products.
- Build secure, scalable, reliable, production-ready AI solutions.
What you need
- 4+ years of hands-on AI/ML engineering experience, including designing, developing, deploying, and supporting AI/ML and Generative AI solutions in production environments.
- 4+ years of hands-on experience with modern AI/ML technologies, including Large Language Models (LLMs), Generative AI, agentic AI prompt/context engineering, embeddings, vector databases, semantic/hybrid search, Transformers, and AI/ML frameworks.
- 4+ years of experience architecting and delivering production AI/ML applications, including APIs/microservices, cloud deployment, model/LLM evaluation, automated testing, observability, performance optimization, security, scalability, and cross-functional technical delivery.
- 5+ years of software engineering/programming experience, with strong hands-on proficiency in Python and experience with at least one additional programming language such as C++ or Java, developing scalable, maintainable, production-quality software.
- Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related technical field.
- Advanced experience with AI/ML frameworks and ecosystems such as PyTorch, TensorFlow, Hugging Face, LangChain, Semantic Kernel, or equivalent technologies.
- Experience with enterprise-grade vector databases and search technologies such as Azure AI Search, Elasticsearch, PostgreSQL/pgvector, Pinecone, or equivalent technologies.
- Experience with Azure AI services/Azure AI Foundry and/or Google Gemini/Vertex AI and cloud-based AI infrastructure.
- Experience with containerization and orchestration technologies such as Docker and Kubernetes.
- Experience building automated deployment pipelines using CI/CD, DevOps, Infrastructure as Code, and MLOps/LLMOps practices.
- Experience with AI observability, model/application telemetry, prompt and model versioning, evaluation pipelines, and production quality monitoring.
- Knowledge of Responsible AI, AI security, data privacy, model risk, prompt-injection mitigation, content safety, and enterprise AI governance.
Key skills
Large Language Models (LLMs)Generative AIagentic AImachine learningsoftware engineering
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Read the full posting here
As an Advanced AI Software Engineer at Honeywell, you will design, develop, deploy, and own advanced AI/ML and Generative AI capabilities that power enterprise software applications and products. You will apply deep expertise in Large Language Models (LLMs), Generative AI, agentic AI, machine learning, and software engineering to build secure, scalable, reliable, and production-ready AI solutions.
You will report directly to our Director of Engineering, and you’ll work out of our Phoenix, Arizona location on a hybrid work schedule.