AI Solutions Engineer

Hearst Corporation; United States; On-site; USD 120,000 - 180,000; Full time

Job summary

CAMP Systems is seeking a Solutions Engineer to turn customer data into credible demonstrations and practical pilots. You’ll work with AI leaders, customer-facing teams, Product, and Engineering to map data, validate integrations, and define technical paths forward.

The role requires hands-on data work, strong discovery, and the ability to present complex concepts to both technical and business audiences. Travel for key customer engagements is expected.

Qualifications

• 4+ years in Solutions Engineering, technical consulting, or similar customer-facing technical role.
• Hands-on with SQL, APIs, data mapping, validation, transformation, and integration troubleshooting; ability to use Python or scripting tools.
• Experience building or adapting demonstrations and proofs of concept with customer data.

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.

Skills

SQL

APIs

Data mapping

Data transformation

Python scripting

Live demos

Discovery

Tools

APIs

Python

SQL tooling

Data profiling tools

Job description

Job Description

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 [e-mail] .

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.