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Lead Ramp Agent Jobs in Houston, TX (NOW HIRING)

Energy transfer

Principal AI Developer

Houston, TX · On-site

NET. • Build AI agents using Microsoft Copilot Studio or the Semantic Kernel Agent Framework. • ... ramp on Azure). • Hands-on experience building RAG (Retrieval-Augmented Generation) pipelines ...

Vallen

AI Platform Engineer

Houston, TX · On-site +1

... lead the governed rebuild * Maintain Vallen's enterprise AI acceptable use policy, data ... Databricks AI Agent Framework, LangChain, AutoGen * Exposure to enterprise AI governance concepts ...

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Lead Ramp Agent information

See Houston, TX salary details

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How much do lead ramp agent jobs pay per hour?

As of Aug 7, 2026, the average hourly pay for lead ramp agent in Houston, TX is $15.95, according to ZipRecruiter salary data. Most workers in this role earn between $14.23 and $17.45 per hour, depending on experience, location, and employer.

Is it hard to get hired as a lead ramp agent?

Getting hired as a lead ramp agent typically requires relevant experience in ground operations, strong communication skills, and the ability to supervise team members. Employers often look for candidates with safety training, certifications such as OSHA, and the ability to work in physically demanding environments, which can influence the difficulty of securing the position.

How does a lead ramp agent coordinate with other airport teams during tight flight schedules?

A Lead Ramp Agent regularly collaborates with ground crew, gate agents, and flight operations to ensure quick and safe aircraft turnaround. During tight schedules, clear communication and efficient task delegation are crucial to avoid delays. The Lead Ramp Agent oversees baggage loading, fueling, and aircraft marshaling, often acting as the main point of contact between ramp personnel and the control tower. This role requires adaptability and strong leadership, as quick problem-solving directly impacts flight departure times and passenger satisfaction.

What is a lead ramp agent?

Lead Ramp Agents are responsible for supervising and coordinating the activities of ramp agents who load and unload aircraft cargo, baggage, and mail. They ensure that ground operations run smoothly and safely, adhering to airline and airport regulations. Lead Ramp Agents also train new staff, assign duties, and act as liaisons between ramp crews and management. Their role is crucial for maintaining on-time departures and arrivals, as well as upholding safety standards on the tarmac.

What is the difference between Lead Ramp Agent vs Ramp Agent?

AspectLead Ramp AgentRamp Agent
CertificationsTypically requires OSHA safety training, equipment operation certificationsRequires similar safety and equipment certifications
Work EnvironmentSupervises ramp activities, manages team, ensures safety protocolsPerforms ground handling, baggage loading, aircraft servicing
ResponsibilitiesLeads ramp team, coordinates operations, enforces safetyExecutes ground handling tasks, supports flight operations
Employer/IndustryAirlines, ground service providersAirlines, ground handling companies

The main difference between a Lead Ramp Agent and a Ramp Agent is that the Lead Ramp Agent supervises and coordinates ramp activities, while the Ramp Agent primarily performs ground handling tasks. Both roles require safety certifications and work in similar environments, but the Lead Ramp Agent has additional leadership responsibilities.

What are the key skills and qualifications needed to thrive as a lead ramp agent, and why are they important?

To thrive as a Lead Ramp Agent, you need experience in ground operations, knowledge of safety procedures, and typically a high school diploma or equivalent. Familiarity with ground service equipment, radio communication systems, and industry safety certifications such as OSHA are commonly required. Strong leadership, problem-solving, and effective communication skills help in managing teams and handling unexpected situations. These abilities are crucial for ensuring the safe, timely, and efficient movement of aircraft and baggage on the ramp.
What are popular job titles related to Lead Ramp Agent jobs in Houston, TX? For Lead Ramp Agent jobs in Houston, TX, the most frequently searched job titles are:
What job categories do people searching Lead Ramp Agent jobs in Houston, TX look for? The top searched job categories for Lead Ramp Agent jobs in Houston, TX are:
Lead Ramp Agent jobs near you
Infographic showing various Lead Ramp Agent job openings in Houston, TX as of August 2026, with employment types broken down into 86% Full Time, 11% Part Time, and 3% Contract. Highlights an 93% Physical, 2% Hybrid, and 5% Remote job distribution, with an average salary of $33,183 per year, or $16 per hour.

Principal AI Developer

Energy Transfer Equity Lp

Houston, TX • Remote

Full-time

Retirement, PTO

Re-posted 5 days ago

Energy Transfer rating

9.0

Company rating: 9.0 out of 10

Based on 64 frontline employees who took The Breakroom Quiz

3rd of 86 rated oil and gas companies

Job description

Energy Transfer, recognized by Forbes as one of America's best large employers, is dedicated to responsibly and safely delivering America's energy.  We are driven to inspire our employees to create superior value for our customers, our investors, a sustainable future and giving back to the community where we have long-standing commitments to causes including MD Anderson Children's Cancer Hospital, The Salvation Army, The American Red Cross, Ronald McDonald House and many more. 

We value all of our employees who make our growth and success possible.  We are proud to offer industry leading compensation, comprehensive benefits, 401(k) match with additional profit sharing, PTO and abundant career opportunities. 

Come join our award winning over 12,000 strong organization as we fuel the world and each other!

Summary:

Energy Transfer is looking for a hands-on AI Developer with strong expertise in Python or .NET, cloud platforms, and modern data tooling to join our multidisciplinary Enterprise AI team. This developer will work alongside AI engineers/developers and business analysts to build, ship, and iterate on real production AI solutions.

This role is ideal for someone who thrives in a fast-paced environment where they own work end-to-end: prototyping, building, deploying, and refining. Candidates who have come up through a smaller company or startup environment - wearing multiple hats and shipping real systems - will feel right at home.

Technical Environment

Core: Python .NET Azure Databricks (data platform)

AI stack: Azure OpenAI Azure AI Foundry Azure AI Search Microsoft Copilot Studio Semantic Kernel Vector Databases RAG (Retrieval-Augmented Generation) Semantic Search Agentic AI MCP (Model Context Protocol)

Essential Duties and Responsibilities

     Design, develop, deploy, and maintain AI solutions using Python and/or .NET.

     Build AI agents using Microsoft Copilot Studio or the Semantic Kernel Agent Framework.

     Build and optimize cloud-native applications on Azure.

     Work with large-scale data in Databricks.

     Partner with AI engineers/developers and business analysts to turn ideas and experiments into production systems.

     Apply critical thinking to evaluate model performance, troubleshoot complex issues, and improve system efficiency.

     Communicate clearly with both technical and non-technical stakeholders.

     Prototype quickly, test rigorously, and iterate often.

Requirements: Education and/or Experience, Knowledge, Skills & Abilities

To perform this job successfully, an individual must be able to perform each essential job duty satisfactorily. The requirements for this position are listed below:

     Bachelor's degree or equivalent experience, with relevant job experience commensurate with the selected job level (see below).

     Professional experience building production systems with Python or .NET (proficiency in both is a strong plus).

     Strong working knowledge of cloud services and architecture patterns - Azure preferred (or equivalent experience in AWS or GCP, with willingness to ramp on Azure).

     Hands-on experience building RAG (Retrieval-Augmented Generation) pipelines.

     Hands-on experience building AI agents with Microsoft Copilot Studio, Semantic Kernel Agent Framework, or an equivalent agent framework (e.g., LangGraph, AutoGen, CrewAI).

     Hands-on experience with at least two of the following:

    Azure AI Search (or equivalent vector/semantic search platform - Pinecone, Weaviate, pgvector, Elasticsearch with vector, AWS Kendra/OpenSearch)

    Vector databases

    Semantic search

    Agentic AI systems (multi-step reasoning, tool use, orchestration)

     Comfort working with SQL and large-scale data platforms (Databricks experience is a plus, but the syntax is approachable if you know SQL).

     Excellent communication and critical-thinking skills.

     Background in a smaller company or startup environment with significant ownership of technical work.

Required experience is commensurate with the selected job level:

     The Senior Specialist level requires a Bachelor's degree or equivalent experience and 5-8 years of relevant job related experience.

     The Lead Specialist level requires a Bachelor's degree or equivalent experience and 8+ years of relevant job related experience.

     The Principal Specialist level requires a Bachelor's degree or equivalent experience and 10+ years of relevant job related experience.

Preferred Qualifications

     Proficiency in both Python and .NET.

     Direct hands-on experience with Microsoft Copilot Studio and/or Semantic Kernel specifically.

     Hands-on experience with Databricks specifically.

     Practical ML experience (model training, evaluation, deployment).

     Familiarity with Azure AI Foundry (or equivalent - AWS Bedrock, Google Vertex AI) and Azure OpenAI (or equivalent managed LLM service) in production.

     Experience with MCP (Model Context Protocol) or similar agent-tooling standards.

     Natural Gas Pipeline or Energy Industry work experience is a plus.

Working Conditions

The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job.

     Usually, normal office working conditions.

     This is an on-site role, worked in person at the office 5 days per week during business hours.

     Must be able to remain in a stationary position 50% of the time due to prolonged periods of sitting or standing.

     Occasional overnight travel may be required to other business locations within the company. 

 

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