Remote AI Solutions Engineer — Aviation Data & AI

San Diego, CA USA; United States; Remote; USD 120,000 - 180,000; Full time

Job summary

CAMP Systems is seeking an AI Solutions Engineer to translate customer data into credible demonstrations and practical pilots. You will collaborate with AI leaders, product, and engineering to map data, define technical paths, and deliver compelling proofs of concept.

You will lead live demonstrations, ensure data integrity, and translate findings into actionable solutions for operations leaders and IT stakeholders across the customer base.

Qualifications

• 4+ years in Solutions Engineering, technical consulting, or similar customer-facing technical role.
• Hands-on experience with SQL, APIs, data mapping and integration troubleshooting.
• Experience building demonstrations and proofs of concept with customer data.

Responsibilities

• Build and deliver customer-specific demonstrations using operational data 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 outcomes.
• Scope pilots with clear technical requirements, assumptions, dependencies, and success criteria.
• Explain current capability and identify where configuration or development is needed.
• Handle presales work and engage Product/Engineering for deeper questions.
• Create reusable playbooks from demonstrations and data mappings.
• Assist account teams in presenting AI Solutions to executives and IT stakeholders.

Skills

SQL

APIs

Data mapping

Data validation

Data transformation

Scripting

Python

Live demonstrations

Job description

CAMP Systems is seeking an AI Solutions Engineer to translate customer data into credible demonstrations and practical pilots. You will collaborate with AI leaders, product, and engineering to map data, define technical paths, and deliver compelling proofs of concept.

You will lead live demonstrations, ensure data integrity, and translate findings into actionable solutions for operations leaders and IT stakeholders across the customer base.