Advanced AI Software Engineer

Job-:
Engineering

Location:

Phoenix, AZ, United States

Schedule:

Full time Posted:
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 provide technical leadership across the AI software development lifecycle, from architecture and experimentation through evaluation, deployment, observability, optimization, and production support. You will collaborate closely with software, product, data, cloud/platform, cybersecurity, and architecture teams to translate complex business requirements into robust AI-powered 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.

Note:

For the first 90 days, new hires must be prepared to work onsite 100% M-F.Qualifications YOU MUST HAVE4+ 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.

WE VALUE 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, Tensor Flow, Hugging Face, Lang Chain, 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, Dev Ops, 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.

BENEFITS OF WORKING FOR HONEYWELL In addition to a competitive salary, leading-edge work, and developing solutions side-by-side with dedicated experts in their fields, Honeywell employees are eligible for a comprehensive benefits package. This package includes employer subsidized Medical, Dental, Vision, and Life Insurance;
Short-Term and Long-Term Disability; 401(k) match, Flexible Spending Accounts, Health Savings Accounts, EAP, and Educational Assistance;
Parental Leave, Paid Time Off (for vacation, personal business, sick time, and parental leave), and 12 Paid Holidays. Learn more ()The…