What are the responsibilities and job description for the Sr AI Platform Engineer position at Honeywell Aerospace Technologies?
Job Description
Sr AI Platform Engineer
As a Sr AI Platform here at Honeywell, you will play a crucial role in supporting AI solutions that drive business insights, enhance decision-making processes and empower AI solutions. Your expertise will help in critical data science development activities across all AI modalities (classic, Gen and agentic) and data types (structured and unstructured).
You will report directly to our AI Director, and you’ll work out of our Phoenix, AZ or Charlotte, NC location on a hybrid work schedule.
In this role, you will impact the organization by leveraging your technical skills to develop innovative data solutions that support strategic initiatives and improve operational efficiency.
Key Responsibilities
YOU MUST HAVE
Must be a US Citizen due to contractual requirements.
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. For more information visit: click here
The application period for the job is estimated to be 40 days from the job posting date; however, this may be shortened or extended depending on business needs and the availability of qualified candidates. Job Posting Date: April 8th, 2026.
About Honeywell Aerospace
Honeywell Aerospace Technologies (AT) products and services are found on virtually every commercial, defense, and space aircraft in the world. We build aircraft engines, cockpit and cabin electronics, wireless connectivity systems, mechanical components and more, and connect many of them via our high-speed Wi-Fi offerings. Our solutions create healthier air travel, more fuel-efficient and better-maintained aircraft, more direct and on-time flight arrivals, safer skies and airports, and more comfortable flights, along with several innovations and services that reflect exciting and emerging new transportation methods such as autonomous and supersonic flight. Revenues in 2023 for Honeywell Aerospace Technology were $14B and there are approximately 21,000 employees globally. To learn more, please visit click here .
Sr AI Platform Engineer
As a Sr AI Platform here at Honeywell, you will play a crucial role in supporting AI solutions that drive business insights, enhance decision-making processes and empower AI solutions. Your expertise will help in critical data science development activities across all AI modalities (classic, Gen and agentic) and data types (structured and unstructured).
You will report directly to our AI Director, and you’ll work out of our Phoenix, AZ or Charlotte, NC location on a hybrid work schedule.
In this role, you will impact the organization by leveraging your technical skills to develop innovative data solutions that support strategic initiatives and improve operational efficiency.
Key Responsibilities
- Design, build, and maintain the core AI platform infrastructure that supports classic machine learning, GenAI/LLM workloads, and emerging agentic AI systems.
- Implement and manage cloud‑native environments in AWS, including compute, networking, IAM, security controls, and serverless or containerized runtimes for AI workloads.
- Build scalable data and model infrastructure across Snowflake, Databricks (Delta Lake, Unity Catalog), and Dataiku, enabling unified governance, observability, lineage, and automation.
- Develop Infrastructure‑as‑Code (IaC) modules, environment templates, and reusable platform components to accelerate AI solution delivery.
- Deploy and operationalize vector databases, embedding pipelines, orchestration frameworks, and retrieval systems to support RAG and agentic AI architectures.
- Partner with Data Engineers, ML Engineers, MLOps, and Architects to deliver secure, reliable, high‑performance AI environments and production runtimes.
- Implement monitoring, alerting, logging, and cost‑optimization frameworks for all AI platform services, ensuring stability and operational excellence.
- Support environment provisioning, workspace configuration, cluster management, CI/CD integration, and platform‑level testing required for scalable AI deployment.
- Ensure compliance with enterprise security, data governance, identity standards, and responsible AI guidelines across all AI modalities.
YOU MUST HAVE
- 5 or more years of experience in platform engineering, cloud engineering, MLOps, DevOps, or a related technical discipline.
- Strong hands-on experience with AWS services such as IAM, VPC, S3, Lambda, ECS/EKS, Step Functions, CloudWatch, and networking/security best practices.
- Practical experience implementing and supporting AI or ML platforms, including compute environments, containerization, and production model or LLM service deployment.
- Experience with Databricks, including workspace configuration, cluster/pool setup, Unity Catalog, Delta Lake, and integration with enterprise identity and governance.
- Working knowledge of Snowflake architecture, storage/compute separation, security, and integration with AI workflows.
- Experience with Dataiku for automation (Scenarios), environment setup, execution engines, and project-level governance.
- Proficiency with Infrastructure-as-Code, ideally Terraform, CLI-based provisioning, and Git-based workflow automation.
- Strong understanding of security fundamentals—least privilege, tokenization/secrets, data access controls, network segmentation, and auditability.
- Ability to collaborate with cross-functional AI teams and translate architectural guidance into robust platform implementations.
- Experience supporting diverse AI workloads: classic ML pipelines, GenAI/LLM applications, and agentic AI systems that use tools, memory, vector search, or multi-step reasoning.
- Knowledge of vector databases, semantic search, retrieval frameworks, and embedding compute patterns (e.g., Databricks Vector Search, OpenSearch, Milvus, Pinecone).
- Familiarity with MLOps practices—CI/CD for ML, model registries (MLflow), evaluation pipelines, monitoring, and incident workflows.
- Hands-on experience with IaC modules for Databricks, Snowflake, or hybrid cloud AI architectures.
- Understanding of multi-agent orchestration patterns, event-driven AI workflows, and safe/guarded execution environments.
- Strong problem‑solving skills, attention to detail, and focus on platform reliability and scalability.
- Passion for emerging AI technologies, platform innovation, and building developer‑friendly infrastructure that accelerates AI delivery.
Must be a US Citizen due to contractual requirements.
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. For more information visit: click here
The application period for the job is estimated to be 40 days from the job posting date; however, this may be shortened or extended depending on business needs and the availability of qualified candidates. Job Posting Date: April 8th, 2026.
About Honeywell Aerospace
Honeywell Aerospace Technologies (AT) products and services are found on virtually every commercial, defense, and space aircraft in the world. We build aircraft engines, cockpit and cabin electronics, wireless connectivity systems, mechanical components and more, and connect many of them via our high-speed Wi-Fi offerings. Our solutions create healthier air travel, more fuel-efficient and better-maintained aircraft, more direct and on-time flight arrivals, safer skies and airports, and more comfortable flights, along with several innovations and services that reflect exciting and emerging new transportation methods such as autonomous and supersonic flight. Revenues in 2023 for Honeywell Aerospace Technology were $14B and there are approximately 21,000 employees globally. To learn more, please visit click here .