CAMP Systems International Logo

CAMP Systems International

AI Solutions Engineer

Posted Yesterday
Remote
Hiring Remotely in United States
Mid level
Remote
Hiring Remotely in United States
Mid level
Build customer-specific AI demonstrations and pilots using operational data. Lead technical discovery, data mapping, validation, transformation, integration troubleshooting, and solution scoping. Collaborate with sales, Product, and Engineering to explain capabilities, identify technical needs, and support executive, operational, and IT stakeholder engagements. Convert successful demonstrations and integration approaches into reusable playbooks.
The summary above was generated by AI

About CAMP Systems:
At CAMP Systems, we are the trusted leader in aircraft compliance and health management, proudly serving the global business aviation industry. With over 20,000 aircraft and 33,000 engines supported on our cutting-edge platforms, and partnerships with more than 1,300 maintenance facilities and parts suppliers worldwide, we’re shaping the future of aviation technology. Since our founding in 1968, we’ve grown to a dynamic team of 1,600+ employees across 14 locations globally—all united by a passion for innovation and excellence.

Our Mission & Vision:
We connect the aviation industry through smart technology to make flight safer and more efficient, driving the future of aviation with intelligence and exceptional customer experiences.

Our Values & Excellence Mindset:
We are customer obsessed, trust-driven, owners of our work, stronger together, constantly curious, and boldly innovative.


What You Will Experience in This Role:

About CAMP Aviate

CAMP Aviate brings together aviation ERP solutions, AI products, workflow applications, and integration capabilities to help aviation businesses plan and operate more effectively. Our AI Solutions include AI Operations Manager, AI Technician, and AI Analyst. They can work with CAMP ERP products or complement other enterprise systems.

The opportunity

Our strongest AI conversations start with a customer’s own data and operational problem. We are looking for a Solutions Engineer who can turn that material into a credible demonstration, a practical pilot, and a clear technical path forward.

You will work with our AI commercial leader, customer-facing teams, Product, and Engineering. This role combines hands-on data work with technical discovery and live customer engagement. You should enjoy opening a dataset as much as presenting its implications to an operations leader.

Responsibilities:

  • Build and deliver customer-specific demonstrations using operational data, workflows, and use cases.
  • Inspect, map, validate, transform, and troubleshoot structured data using SQL, APIs, scripting, and analytics tools.
  • Lead technical discovery on customer systems, data sources, integrations, security needs, and desired outcomes.
  • Scope pilots with clear technical requirements, assumptions, dependencies, and success criteria.
  • Explain current capability accurately and identify where configuration, integration, or product development is needed.
  • Handle routine technical presales work and engage Product or Engineering for deeper architecture or feasibility questions.
  • Turn successful demonstrations, data mappings, and integration approaches into reusable playbooks.
  • Help account teams present AI Solutions effectively to executives, operational teams, and IT stakeholders.

You have:

  • At least four years in Solutions Engineering, technical consulting, solutions architecture, or a similar customer-facing technical role.
  • Hands-on experience with SQL, APIs, data mapping, validation, transformation, and integration troubleshooting; ability to use Python or comparable scripting tools.
  • Experience building or adapting demonstrations and proofs of concept with customer data.
  • Working knowledge of AI, analytics, and LLM-based applications, with sound judgment about technical limits.
  • Strong discovery, problem-solving, live demonstration, and communication skills across technical and business audiences.
  • Comfort with evolving products and willingness to travel for important customer work.

 

Why Work at CAMP?

Join a culture where your ideas matter, your impact is real, and your growth is supported. Be part of a team reimagining the future of aviation.

CAMP is committed to creating a diverse environment and is proud to be an affirmative action and equal opportunity employer – vets/disabled

CAMP is committed to providing access, equal opportunity, and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. To request reasonable accommodation, please contact [email protected].

All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, national origin, age, sexual orientation, gender identity, disability or protected veteran status EEO.

Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.

Similar Jobs

13 Hours Ago
Remote
2 Locations
152K-209K Annually
Senior level
152K-209K Annually
Senior level
Big Data • Machine Learning • Software • Analytics • Big Data Analytics
Provides technical leadership in pre-sales engagements for data and AI platforms. Designs big data architectures, develops proofs of concept, validates integrations, advises customers on implementation and competitive solutions, and supports data engineering, data science, machine learning, and SQL workflows. Collaborates with sales, product, solutions architecture, and customer teams while promoting Databricks technologies and open-source projects.
Top Skills: SparkAWSAzureDatabricksDelta LakeGCPHadoopKafkaMlflowPandasPythonPyTorchScikit-LearnSQLTensorFlow
2 Days Ago
In-Office or Remote
203K-377K Annually
Entry level
203K-377K Annually
Entry level
Digital Media • Information Technology • Analytics
Leads technical presales, customer discovery, proofs of concept, and implementation for Gracenote’s API and AI products. Designs and deploys focused AI agents using MCP servers and agentic frameworks, advises customers on enterprise integrations, provides code-level guidance, validates new tools, and influences product roadmaps. Requires strong experience with Python or TypeScript, LLM orchestration, cloud AI platforms, enterprise security, and stakeholder engagement. Travel to customer sites globally may reach 40%.
Top Skills: AWSAws Bedrock AgentsAws CognitoClaudeGeminiGoogle AdkGoogle Cloud Vertex AiGptJson-Rpc 2.0LangchainLlamaindexMicrosoft Azure AiMicrosoft Azure Ai FoundryModel Context Protocol (Mcp)Node.jsOauthOidcPythonTypescript
10 Days Ago
In-Office or Remote
5 Locations
Senior level
Senior level
Security • Cybersecurity
Drive adoption of AI-driven security solutions through customer-facing technical engagements. Lead AI risk and governance workshops, support proof-of-value and proof-of-concept projects, demonstrate products, and advise on integrating AI security with existing architectures. Collaborate with Sales, Product Management, Marketing, and Customer Success while translating complex cybersecurity and AI concepts into business value.
Top Skills: Ai/MlAmazon EksAzure AksCasbCloud EnvironmentsEnterprise SoftwareFirewallGoogle GkeProxySIEMTcp/Ip

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account