- Spring, Texas, United States
- Hybrid
- Full-time · Senior
- $127K–$291K per year
- 5–8 years
Design, build, and operate production-grade agentic AI systems that combine foundation models, software services, enterprise data, tools, and automation.
Compensation
The expected salary/wage range for this position is provided below. Actual offer may vary from this range based upon geographic location, work experience, education/training, and/or skill level. – United States of America: Annual Salary USD 132,500 - 252,500 in Colorado // 143,000 - 290,500 in California // 126,500 - 290,500 in Georgia & North Carolina & Texas
Responsibilities
- Design and develop scalable architectures for production-grade agentic AI systems.
- Build agent orchestration, multi-agent workflows, state management, memory, tool integration, and human-in-the-loop capabilities.
- Design reusable execution harnesses and services that separate AI reasoning and planning from deterministic execution.
- Develop model-agnostic interfaces supporting multiple foundation models, providers, and inference platforms.
- Build and integrate MCP servers, APIs, tool registries, skills, enterprise services, and data sources.
Requirements
- Bachelor's or Master's degree in Computer Science, Engineering, Artificial Intelligence, or a related technical discipline, or equivalent practical experience.
- Nice to have: Cybersecurity automation
- Nice to have: Security-sensitive systems
- Nice to have: Open-weight models
- Nice to have: Commercial foundation-model platforms