AI Engineer

Job Family: Data Science Consulting Travel Required: None Clearance Required: Active Secret What You Will Do: Implement AI strategy to increase adoption of AI technologies across client organization. Coordinate with related stakeholders to establish on-premises AI server. Integrate AI capabilities (prompt orchestration, tool/function calling, embeddings, fine-tuning) into applications and services. Collaborate with data scientists, platform engineers, and product teams to iterate on use cases, deliver POCs/MVPs, and harden them for scale. Follow responsible AI practices and security/compliance requirements across commercial and public sector environments. Conduct digital transformation initiatives leveraging AI technologies to improve organization’s mission accomplishment and increase operating efficiencies. What You Will Need: An ACTIVE and MAINTAINED "SECRET" Federal or DoD security clearance Bachelor’s degree EIGHT (8) or more years of professional experience including the following: THREE (3) years of experience in software, data, RAG architecture/vector databases or ML engineering, including building and operating cloud-native services including but not limited to OpenAI, Anthropic, Google Gemini, or AWS Bedrock TWO (2) years focused specifically on Generative AI/LLM technologies. ONE (1) year optimizing for token efficiency and cost management in production LLM applications (e.g., prompt compression, caching, context window management, model routing). What Would Be Nice