... aviate), and LLM integration. • Solid understanding of NLP concepts, transformer models, and prompt engineering. • Ability to translate complex business requirements into scalable AI solutions ...
... aviate), and LLM integration. • Solid understanding of NLP concepts, transformer models, and prompt engineering. • Ability to translate complex business requirements into scalable AI solutions ...
... Aviate Navigate Communicate (ANC) and Mission Processor (MP) development and EMD production programs. The L3Harris team is developing the most advanced and secure mission architecture. Will work ...
New
... Aviate Navigate Communicate (ANC) and Mission Processor (MP) development and EMD production programs. The L3Harris team is developing the most advanced and secure mission architecture. Will work ...
New
... Aviate Navigate Communicate (ANC) and Mission Processor (MP) development and EMD production programs. The L3Harris team is developing the most advanced and secure mission architecture. Will work ...
... Aviate Navigate Communicate (ANC) and Mission Processor (MP) development and EMD production programs. The L3Harris team is developing the most advanced and secure mission architecture. Will work ...
Senior Specialist, Software Engineering
$104.60K - $138K/yr
... Aviate Navigate Communicate (ANC) and Mission Processor (MP) development and EMD production programs. The L3Harris team is developing the most advanced and secure mission architecture. Will work ...
Senior Specialist, Software Engineering
$104.60K - $138K/yr
... Aviate Navigate Communicate (ANC) and Mission Processor (MP) development and EMD production programs. The L3Harris team is developing the most advanced and secure mission architecture. Will work ...
Let's Build Futures Together We are currently welcoming applications from both clinical and non-clinical professionals who are passionate about making a meaningful difference. With a focus on ...
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Let's Build Futures Together We are currently welcoming applications from both clinical and non-clinical professionals who are passionate about making a meaningful difference. With a focus on ...
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Aviate information
See salary details
$8.89 - $13.70
16% of jobs
$15.17 is the 25th percentile. Wages below this are outliers.
$13.70 - $18.51
29% of jobs
The median wage is $19.71 / hr.
$18.51 - $23.32
19% of jobs
$27.58 is the 75th percentile. Wages above this are outliers.
$23.32 - $28.13
12% of jobs
$28.13 - $32.93
8% of jobs
$32.93 - $37.74
5% of jobs
$37.74 - $42.55
4% of jobs
$42.55 - $47.36
2% of jobs
$47.36 - $52.16
2% of jobs
$52.16 - $56.97
1% of jobs
$56.97 - $61.78
1% of jobs
$8
$26
$61
How much do aviate jobs pay per hour?
As of May 31, 2026, the average hourly pay for aviate in the United States is $26.34, according to ZipRecruiter salary data. Most workers in this role earn between $15.14 and $30.77 per hour, depending on experience, location, and employer.
What are the key skills and qualifications needed to thrive as an Aviator, and why are they important?
To thrive as an Aviator, you need strong aeronautical knowledge, excellent hand-eye coordination, and typically a commercial or private pilot license. Familiarity with flight navigation systems, aviation weather tools, and aircraft operation software is crucial. Outstanding situational awareness, decision-making skills, and clear communication set top aviators apart. These skills and qualities are essential for ensuring flight safety, effective teamwork, and successful mission completion in dynamic environments.
What are some common challenges pilots face when operating in diverse weather conditions, and how do airlines support aviators in these situations?
Pilots often encounter rapidly changing weather conditions, such as thunderstorms, turbulence, or low visibility, which can complicate flight operations and require swift, informed decision-making. Airlines support aviators by providing up-to-date weather briefings, advanced cockpit technology, and ongoing training in handling adverse conditions. Additionally, pilots have access to dispatch teams and air traffic control for real-time guidance, ensuring safety and compliance with regulatory standards. Developing strong situational awareness and adaptability is crucial for overcoming these challenges and maintaining safe, efficient flights.
What are Aviate jobs?
Aviate jobs typically refer to roles within United Airlines' Aviate program, which is a career development initiative for aspiring pilots. The program provides a pathway for individuals to become United Airlines pilots through training, mentorship, and support. Aviate offers opportunities for those with little to no flight experience as well as current pilots seeking advancement. Participants can benefit from a structured progression, networking with aviation professionals, and a clear route toward a career as a commercial airline pilot.
What is the difference between Aviate vs Pilot?
| Aspect | Aviate | Pilot |
|---|---|---|
| Required Credentials | Commercial Pilot License (CPL), flight hours | Commercial Pilot License (CPL), flight hours |
| Work Environment | Airlines, charter services, corporate flights | Airlines, cargo, private aviation |
| Industry Usage | Job title for pilots in various sectors | Professional pilot role |
| Common Search Intent | Compare pilot job roles and responsibilities | Understanding pilot career paths |
Both Aviate and Pilot roles require similar certifications and work in aviation environments. 'Aviate' often refers to the broader job category or a specific program within airlines, while 'Pilot' is the general job title for licensed flying professionals. Understanding these distinctions helps clarify career options and job expectations in the aviation industry.
More about Aviate jobs
What states have the most Aviate jobs? States with the most job openings for Aviate jobs include:
What job categories do people searching Aviate jobs look for? The top searched job categories for Aviate jobs are:
Contractor
Posted 27 days ago
Job description
**Please strictly adhere to the following resume naming convention:
ALL CAPS, NO SPACES B/T UNDERSCORES
PTN_US_GBAMSREQID_CandidateBeelineID
i.e. PTN_US_9999999_SKIPJOHNSON0413
Bill Rate: market rate/hr
GBaMS ReqID: 10585280
MSP Owner: Tory Robinson
Location: Tampa, FL - 100% Onsite
Duration: 6 + months
AI Lead/Solution Architect
Job Summary
As a Solution Architect with a focus on AI-driven intelligent systems, you will lead the design, development, and
deployment of advanced NLP and cognitive search solutions using Python, Lang chain, LangGraph,
Retrieval-Augmented Generation (RAG), and Agentic AI models.
Key Responsibilities
• Design and architect scalable, maintainable AI solutions that integrate Lang chain, LangGraph, and RAG
methodologies to enhance knowledge discovery and conversational AI capabilities.
• Lead development efforts using Python to prototype and productionize AI agents and workflows.
• Collaborate with data engineering and DevOps teams to implement data pipelines and model deployment
strategies.
• Develop and optimize RAG systems combining vector search, knowledge graphs, and LLMs to provide
contextual and accurate responses.
• Architect agentic AI systems that perform autonomous tasks by chaining actions, managing states, and
integrating external APIs.
• Provide technical leadership and architecture guidance for AI and NLP projects.
• Evaluate emerging AI technologies and frameworks to continuously improve solution design.
• Create comprehensive technical documentation and architecture diagrams to facilitate knowledge transfer.
• Ensure solutions meet security, compliance, and performance standards.
Required Skills and Qualifications
. • Strong proficiency in Python, with experience in backend or AI service development.
• Hands-on experience with Lang chain and/or LangGraph frameworks.
• Deep understanding of Retrieval-Augmented Generation (RAG) systems and techniques.
• Experience designing and implementing agentic AI architectures, autonomous workflows, or
multi-agent systems.
• Familiarity with knowledge graphs, vector search engines (e.g., FAISS, Pinecone, We aviate),
and LLM integration.
• Solid understanding of NLP concepts, transformer models, and prompt engineering.
• Ability to translate complex business requirements into scalable AI solutions.
• Experience with cloud platforms (AWS, GCP, Azure) and container orchestration (Docker,
• Kubernetes).
• Strong communication skills and ability to collaborate across multidisciplinary teams
Role Descriptions: Job SummaryAs a Solution Architect with a focus on AI-driven intelligent systems| you will lead the design| development| and deployment of advanced NLP and cognitive search solutions using Python| Langchain| LangGraph| Retrieval-Augmented Generation (RAG)| and Agentic AI models.Key ResponsibilitiesDesign and architect scalable| maintainable AI solutions that integrate Langchain| LangGraph| and RAG methodologies to enhance knowledge discovery and conversational AI capabilities.Lead development efforts using Python to prototype and productionize AI agents and workflows.Collaborate with data engineering and DevOps teams to implement data pipelines and model deployment strategies.Develop and optimize RAG systems combining vector search| knowledge graphs| and LLMs to provide contextual and accurate responses.Architect agentic AI systems that perform autonomous tasks by chaining actions| managing states| and integrating external APIs.Provide technical leadership and architecture guidance for AI and NLP projects.Evaluate emerging AI technologies and frameworks to continuously improve solution design.Create comprehensive technical dJob SummaryAs a Solution Architect with a focus on AI-driven intelligent systems| you will lead the design| development| and deployment of advanced NLP and cognitive search solutions using Python| Langchain| LangGraph| Retrieval-Augmented Generation (RAG)| and Agentic AI models.Key ResponsibilitiesDesign and architect scalable| maintainable AI solutions that integrate Langchain| LangGraph| and RAG methodologies to enhance knowledge discovery and conversational AI capabilities.Lead development efforts using Python to prototype and productionize AI agents and workflows.Collaborate with data engineering and DevOps teams to implement data pipelines and model deployment strategies.Develop and optimize RAG systems combining vector search| knowledge graphs| and LLMs to provide contextual and accurate responses.Architect ageocumentation and architecture diagrams to facilitate knowledge transfer.Ensure solutions meet security| compliance| and performance standards..Required Skills and Qualifications. Strong proficiency in Python| with experience in backend or AI service development.Hands-on experience with Langchain andor LangGraph frameworks.Deep understanding of Retrieval-Augmented Generation (RAG) systems and techniques.Experience designing and implementing agentic AI architectures| autonomous workflows| or multi-agent systems.Familiarity with knowledge graphs| vector search engines (e.g.| FAISS| Pinecone| Weaviate)| and LLM integration.Solid understanding of NLP concepts| transformer models| and prompt engineering.Ability to translate complex business requirements into scalable AI solutions.Experience with cloud platforms (AWS| GCP| Azure) and container orchestration (Docker| Kubernetes).Strong communication skills and ability to collaborate across multidisciplinary teams
Essential Skills: Job SummaryAs a Solution Architect with a focus on AI-driven intelligent systems| you will lead the design| development| and deployment of advanced NLP and cognitive search solutions using Python| Langchain| LangGraph| Retrieval-Augmented Generation (RAG)| and Agentic AI models.Key ResponsibilitiesDesign and architect scalable| maintainable AI solutions that integrate Langchain| LangGraph| and RAG methodologies to enhance knowledge discovery and conversational AI capabilities.Lead development efforts using Python to prototype and productionize AI agents and workflows.Collaborate with data engineering and DevOps teams to implement data pipelines and model deployment strategies.Develop and optimize RAG systems combining vector search| knowledge graphs| and LLMs to provide contextual and accurate responses.Architect agentic AI systems that perform autonomous tasks by chaining actions| managing states| and integrating external APIs.Provide technical leadership and architecture guidance for AI and NLP projects.Ev
ALL CAPS, NO SPACES B/T UNDERSCORES
PTN_US_GBAMSREQID_CandidateBeelineID
i.e. PTN_US_9999999_SKIPJOHNSON0413
Bill Rate: market rate/hr
GBaMS ReqID: 10585280
MSP Owner: Tory Robinson
Location: Tampa, FL - 100% Onsite
Duration: 6 + months
AI Lead/Solution Architect
Job Summary
As a Solution Architect with a focus on AI-driven intelligent systems, you will lead the design, development, and
deployment of advanced NLP and cognitive search solutions using Python, Lang chain, LangGraph,
Retrieval-Augmented Generation (RAG), and Agentic AI models.
Key Responsibilities
• Design and architect scalable, maintainable AI solutions that integrate Lang chain, LangGraph, and RAG
methodologies to enhance knowledge discovery and conversational AI capabilities.
• Lead development efforts using Python to prototype and productionize AI agents and workflows.
• Collaborate with data engineering and DevOps teams to implement data pipelines and model deployment
strategies.
• Develop and optimize RAG systems combining vector search, knowledge graphs, and LLMs to provide
contextual and accurate responses.
• Architect agentic AI systems that perform autonomous tasks by chaining actions, managing states, and
integrating external APIs.
• Provide technical leadership and architecture guidance for AI and NLP projects.
• Evaluate emerging AI technologies and frameworks to continuously improve solution design.
• Create comprehensive technical documentation and architecture diagrams to facilitate knowledge transfer.
• Ensure solutions meet security, compliance, and performance standards.
Required Skills and Qualifications
. • Strong proficiency in Python, with experience in backend or AI service development.
• Hands-on experience with Lang chain and/or LangGraph frameworks.
• Deep understanding of Retrieval-Augmented Generation (RAG) systems and techniques.
• Experience designing and implementing agentic AI architectures, autonomous workflows, or
multi-agent systems.
• Familiarity with knowledge graphs, vector search engines (e.g., FAISS, Pinecone, We aviate),
and LLM integration.
• Solid understanding of NLP concepts, transformer models, and prompt engineering.
• Ability to translate complex business requirements into scalable AI solutions.
• Experience with cloud platforms (AWS, GCP, Azure) and container orchestration (Docker,
• Kubernetes).
• Strong communication skills and ability to collaborate across multidisciplinary teams
Role Descriptions: Job SummaryAs a Solution Architect with a focus on AI-driven intelligent systems| you will lead the design| development| and deployment of advanced NLP and cognitive search solutions using Python| Langchain| LangGraph| Retrieval-Augmented Generation (RAG)| and Agentic AI models.Key ResponsibilitiesDesign and architect scalable| maintainable AI solutions that integrate Langchain| LangGraph| and RAG methodologies to enhance knowledge discovery and conversational AI capabilities.Lead development efforts using Python to prototype and productionize AI agents and workflows.Collaborate with data engineering and DevOps teams to implement data pipelines and model deployment strategies.Develop and optimize RAG systems combining vector search| knowledge graphs| and LLMs to provide contextual and accurate responses.Architect agentic AI systems that perform autonomous tasks by chaining actions| managing states| and integrating external APIs.Provide technical leadership and architecture guidance for AI and NLP projects.Evaluate emerging AI technologies and frameworks to continuously improve solution design.Create comprehensive technical dJob SummaryAs a Solution Architect with a focus on AI-driven intelligent systems| you will lead the design| development| and deployment of advanced NLP and cognitive search solutions using Python| Langchain| LangGraph| Retrieval-Augmented Generation (RAG)| and Agentic AI models.Key ResponsibilitiesDesign and architect scalable| maintainable AI solutions that integrate Langchain| LangGraph| and RAG methodologies to enhance knowledge discovery and conversational AI capabilities.Lead development efforts using Python to prototype and productionize AI agents and workflows.Collaborate with data engineering and DevOps teams to implement data pipelines and model deployment strategies.Develop and optimize RAG systems combining vector search| knowledge graphs| and LLMs to provide contextual and accurate responses.Architect ageocumentation and architecture diagrams to facilitate knowledge transfer.Ensure solutions meet security| compliance| and performance standards..Required Skills and Qualifications. Strong proficiency in Python| with experience in backend or AI service development.Hands-on experience with Langchain andor LangGraph frameworks.Deep understanding of Retrieval-Augmented Generation (RAG) systems and techniques.Experience designing and implementing agentic AI architectures| autonomous workflows| or multi-agent systems.Familiarity with knowledge graphs| vector search engines (e.g.| FAISS| Pinecone| Weaviate)| and LLM integration.Solid understanding of NLP concepts| transformer models| and prompt engineering.Ability to translate complex business requirements into scalable AI solutions.Experience with cloud platforms (AWS| GCP| Azure) and container orchestration (Docker| Kubernetes).Strong communication skills and ability to collaborate across multidisciplinary teams
Essential Skills: Job SummaryAs a Solution Architect with a focus on AI-driven intelligent systems| you will lead the design| development| and deployment of advanced NLP and cognitive search solutions using Python| Langchain| LangGraph| Retrieval-Augmented Generation (RAG)| and Agentic AI models.Key ResponsibilitiesDesign and architect scalable| maintainable AI solutions that integrate Langchain| LangGraph| and RAG methodologies to enhance knowledge discovery and conversational AI capabilities.Lead development efforts using Python to prototype and productionize AI agents and workflows.Collaborate with data engineering and DevOps teams to implement data pipelines and model deployment strategies.Develop and optimize RAG systems combining vector search| knowledge graphs| and LLMs to provide contextual and accurate responses.Architect agentic AI systems that perform autonomous tasks by chaining actions| managing states| and integrating external APIs.Provide technical leadership and architecture guidance for AI and NLP projects.Ev