Honeywell

Senior AI Platform Engineer

Honeywell

full-time

Posted on:

Location Type: Hybrid

Location: Phoenix • Arizona • North Carolina • United States

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Job Level

Senior

Tech Stack

AWSCloudTerraformUnity

About the role

  • 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.

Requirements

  • 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.
Benefits
  • employer-subsidized Medical, Dental, Vision, and Life Insurance
  • Short-Term and Long-Term Disability
  • 401(k) match
  • Flexible Spending Accounts
  • Health Savings Accounts
  • EAP
  • Educational Assistance
  • Parental Leave
  • Paid Time Off (for vacation, personal business, sick time, and parental leave)
  • 12 Paid Holidays
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
AWSInfrastructure-as-CodeTerraformDatabricksSnowflakeDataikuMLOpsDevOpscontainerizationAI platform deployment
Soft Skills
collaborationcommunicationproblem-solvingorganizational skillscross-functional teamwork