Forward Deployed Engineer IV - US

Location: Remote - US based candidates only, no visa sponsorship available

Compensation: $132,149 – $193,856 annually

About the role

This role will drive marketing initiatives focused on growth, customer acquisition, brand performance, and measurable demand creation. You will collaborate with analytics, product, creative, and commercial teams to turn market insights into scalable campaigns, testing strategies, and performance improvements. The position offers the opportunity to directly influence customer engagement, conversion performance, and revenue growth within a technology-driven environment.

Responsibilities

• Diagnose and approach critical business challenges by mapping data landscapes and co-creating AI solutions on-site
• Lead design and delivery of AI workflows, RAG pipelines, and real-time applications from concept to deployment
• Rapidly prototype and conduct proof of concepts (POCs) to demonstrate business value in a short timeline
• Oversee project lifecycle including scoping, architecture, construction, deployment, and optimization post-launch
• Architect enterprise-scale AI applications integrating with existing enterprise systems and cloud infrastructure
• Build scalable data pipelines for structured and unstructured data using modern technologies
• Champion observability practices to ensure trustworthy AI outputs and ongoing system health

Qualifications

• Bachelor's degree in computer science, engineering, or related technical discipline required; additional experience may substitute for the degree
• Must be Palantir certified
• 6+ years in software engineering, data engineering, or AI/ML delivery; at least 4+ years in customer-facing or field roles
• Proven track record in building and deploying AI/ML applications in production at enterprise scale
• Deep full-stack proficiency in Python and familiarity with Node.js/Go, React/Vue, and SQL/NoSQL databases
• Experience integrating with various enterprise systems such as ERP and data lakes
• Strong DevOps skills including Docker, Kubernetes, CI/CD, and cloud-native deployment patterns

Benefits

• Develop skills through mentor-driven opportunities and hands-on experience with cutting-edge technologies
• Work in a hybrid environment with flexibility for remote work for those outside of San Antonio, TX
• Engage directly with enterprise-level clients to solve real-world business challenges in exciting, tech-forward industries