Sr Advanced AI Platform Engineer

Job Description

Job Description

Overview

Recognized by Clarivate, Forbes, the Human Rights Campaign, and Military Friendly® for innovation, workplace excellence, inclusion, and veteran support.

A global building automation and industrial technology company with 100+ years of history , 25,000+ patents , and 7,000+ engineers , operating across 70+ countries and 4 major business areas . Its technologies support industries including buildings, manufacturing, healthcare, data centers, and utilities worldwide.

Benefits

• 401(k) match: Employer matches 87.5% of the first 8% of eligible pay, up to 7% of base salary; generally fully vested after 3 years.
• Education support: Up to $5,250/year for eligible undergraduate programs and $7,500/year for graduate programs.
• Paid parental leave: 8 weeks (40 business days) for birth, adoption, or foster-care placement.
• Paid time off: 56 hours of paid sick time annually, plus vacation and 12 paid holidays.
• Health coverage: Medical, dental, and vision plans, including an HSA-eligible medical option and 100% in-network preventive care.
• HSA & FSA: Tax-advantaged accounts for eligible healthcare, dental, vision, and dependent-care expenses.
• Disability coverage: Short-Term Disability provides 100% of base pay for up to 8 weeks, then 70% through week 26; Long-Term Disability provides 60% of base pay after Short-Term Disability.
• Employee support: Company-paid with 8 sessions per issue per year, plus health and wellness resources.
• Employee support: Company-paid Employee Assistance Program with 8 sessions per issue per year, plus health and wellness resources.
• Insurance & discounts: Company-paid basic life insurance of 1× annual base pay, Accidental Death & Dismemberment coverage, Business Travel Accident Insurance, and employee discounts.

Benefits may vary by location, position, employee classification, and eligibility.

Qualifications

• 8 plus years of experience in software engineering, data engineering, or ML platform engineering.
• Strong proficiency in Python and at least one systems language (Python, Go, Rust, C++).
• Deep hands-on experience with cloud-native data platforms (Databricks, BigQuery, Azure Data Lake, Kubernetes).
• Production experience building and deploying ML/AI pipelines including model serving, feature engineering, and experiment tracking.
• Experience with LLM application frameworks such as LangChain, LangGraph, and Langsmith or equivalent agentic AI orchestration tools.

Responsibilities

• Develop high-performance, production-ready Python APIs using FastAPI to serve as the primary interface for on-device model inference.
• Design, build, and maintain enterprise AI/ML platform services on multi-cloud infrastructure including model deployment, serving and experiment tracking.
• Build robust CI/CD stacks to automate the testing of inference logic and the deployment of API services to edge devices.
• Implement ML orchestration workflows using LangGraph, MLflow, and custom orchestration layers for multi-agent AI systems.
• Own platform reliability for AI services serving multiple business units.