Sr AI Platform Engineer

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 youll 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 coreAI platform infrastructurethat supports classic machine learning GenAI/LLM workloads and emerging agentic AI systems.
• Implement and manage cloudnative environments inAWS including compute networking IAM security controls and serverless or containerized runtimes for AI workloads.
• Build scalable data and model infrastructure acrossSnowflake Databricks (Delta Lake Unity Catalog) and Dataiku enabling unified governance observability lineage and automation.
• Develop InfrastructureasCode (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 supportRAG and agentic AIarchitectures.
• Partner with Data Engineers ML Engineers MLOps and Architects to deliver secure reliable highperformance AI environments and production runtimes.
• Implement monitoring alerting logging and costoptimization frameworks for all AI platform services ensuring stability and operational excellence.
• Support environment provisioning workspace configuration cluster management CI/CD integration and platformlevel 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 withAWSservices such as IAM VPC S3 Lambda ECS/EKS Step Functions CloudWatch and networking/security best practices.
• Practical experience implementing and supportingAI or ML platforms including compute environments containerization and production model or LLM service deployment.
• Experience withDatabricks including workspace configuration cluster/pool setup Unity Catalog Delta Lake and integration with enterprise identity and governance.
• Working knowledge ofSnowflakearchitecture storage/compute separation security and integration with AI workflows.
• Experience withDataikufor automation (Scenarios) environment setup execution engines and project-level governance.
• Proficiency withInfrastructure-as-Code ideally Terraform CLI-based provisioning and Git-based workflow automation.
• Strong understanding of security fundamentalsleast 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.

WE VALUE

• Experience supporting diverse AI workloads:classic ML pipelinesGenAI/LLM applications andagentic AI systemsthat 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 practicesCI/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 problemsolving skills attention to detail and focus on platform reliability and scalability.
• Passion for emerging AI technologies platform innovation and building developerfriendly infrastructure that accelerates AI delivery.

U.S. PERSON REQUIREMENTS

Due to compliance with US export control laws and regulations candidate must be a US Person which is defined as US citizen a US permanent resident or have protected status in the US under asylum or refugee status.

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: February 19th 2026.

ABOUT HONEYWELL

Honeywell International Inc. (Nasdaq: HON) invents and commercializes technologies that address some of the worlds most critical challenges around energy safety security air travel productivity and global urbanization. We are a leading software-industrial company committed to introducing state-of-the-art technology solutions to improve efficiency productivity sustainability and safety in high growth businesses in broad-based attractive industrial end markets. Our products and solutions enable a safer more comfortable and more productive world enhancing the quality of life of people around the globe. Learn more about Honeywell: click here

THE BUSINESS UNIT

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 21000 employees globally. To learn more please visit click here.

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