Software Engineer II - AI/ML OPS Engineer

Honeywell • Atlanta, GA

11h • Hybrid

About The Position

We are seeking a talented Software Engineer II- AI/ML OPS Engineer to contribute to our machine learning operations (ML Ops), large language model (LLM) and agentic AI integration, Databricks administration, data lake management, and cloud platform projects. The ideal candidate will help design, implement, and optimize ML pipelines, support cloud infrastructure (GCP & Azure), participate in prompt engineering for generative and agentic AI, contribute to CI/CD practices, and assist with Databricks platform governance and data lake operations. You will work closely with engineers, data scientists, and product managers to deliver innovative AI solutions. You will report directly to our Sr. Software Engineer Manager, and you’ll work out of our Atlanta, GA location on a Hybrid work schedule. Hybrid Work Schedule Note: For the first 90 days, New Hires must be prepared to work 100% onsite M-F

Requirements

• Bachelor’s degree in Computer Science, Engineering, or related field.
• 3 years of software engineering experience, with 2 years in ML Ops, agentic AI, Databricks, data lake, or cloud platforms.
• Experience with ML Ops tools (MLflow, Kubeflow, Vertex AI, Azure ML, etc.).
• Exposure to LLMs (OpenAI, Google Gemini, Azure OpenAI, etc.), agentic AI systems, and prompt engineering.
• Familiarity with Databricks platform administration, deployment, and troubleshooting.
• Experience with data lake solutions (Azure Data Lake, GCP BigLake, etc.).
• Proficiency in Python; experience with other languages is a plus.
• Working knowledge of GCP and Azure cloud services.
• Experience with CI/CD pipelines (GitHub Actions, Azure DevOps, Jenkins, etc.).
• Understanding of containerization (Docker, Kubernetes).
• Experience with data engineering, ETL, or big data technologies.
• Good communication and problem-solving skills.
• US Person requirement: Due to compliance with U.S. export control laws and regulations, candidate must be a U.S. Person, which is defined as, a U.S. citizen, a U.S. permanent resident, or have protected status in the U.S. under asylum or refugee status or have the ability to obtain an export authorization.

Nice To Haves

• Experience with working as DEVOPS/SRE or ML OPS
• Familiarity with MLOps for LLMs, agentic AI, or generative AI.
• Contributions to open-source projects.
• Certifications in GCP, Azure, Databricks, Data Lake, or ML Ops.

Responsibilities

• Design and deploy API in Azure and GCP using multiple programming language
• Manage production system and data pipeline in prod environment
• On call support for any production issue for troubleshooting
• Work with data engineering, API development team to deploy release on time
• Automate things to improve developer experience
• Manage deployment in Azure and GCP cloud
• Partner with security team to remediate security issues in infrastructure.

Benefits

• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level