shieldai
Staff Engineer, AI Platform & Architecture (R5449)
At a Glance
- Location
- Remote
- Work Regime
- remote
- Employment
- Full Time Employee
- Compensation
- USD 190000-290000 per-year-salary
- Department
- Enterprise Operations Division
- Posted
- 2026-07-24T23:32:16.754000+00:00
Key Requirements
Required Skills
Domain Knowledge
- Automation
- Defense
- Engineering
- Regulatory
Benefits & Perks
d above + temporary benefits package (applicable after 60 days of employment
Requirements
Deep hands-on understanding of generative AI, large language model integration, RAG architectures, agentic AI patterns, prompt orchestration, and production AI system design.
Experience designing shared platform services, reusable component libraries, APIs, integration frameworks, or developer enablement platforms used by multiple teams.
Strong architecture judgment across security, reliability, scalability, observability, maintainability, and operational cost tradeoffs.
Experience implementing or contributing to AI governance controls such as access management, data classification, audit logging, model lifecycle management, and compliance-aware development practices.
Ability to influence technical direction across matrixed teams through architecture reviews, written guidance, reference implementations, and hands-on collaboration.
Experience defining metrics, telemetry, or attribution mechanisms for adoption, productivity, cost, quality, or operational performance.
Responsibilities
AI Platform Architecture & Standards
Define and evolve enterprise AI architecture patterns for LLM integration, retrieval-augmented generation, agentic workflows, prompt orchestration, and workflow automation.
Create reference architectures, design reviews, decision records, and implementation guidance that enable consistent AI development across business units.
Serve as a technical authority for AI platform decisions, including model selection, integration approaches, data boundary enforcement, and lifecycle management.
Evaluate emerging AI technologies and recommend fit-for-purpose adoption paths aligned to security, operational, and enterprise architecture requirements.
Partner with product, platform, and business technology teams to identify common needs and convert them into reusable engineering patterns.
About the Company
Founded in 2015, Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software and V-BAT and X-BAT aircraft. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit
www.shield.ai
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