Technology Architect - AI

Work closely with IQT’s government partners to understand technology challenges Investigate and recommend potential solutions from the venture-backed startup ecosystem Identify new AI/ML technology areas for investment Provide technical diligence on multiple complementary investments Develop and negotiate Statements of Work contracts with startup companies Provide thought leadership in AI/ML subject-matter areas Identify topics for and oversee technical engagement strategies across short- and long-term horizons Provide technical oversight of work programs and assess deliverables Identify and communicate issue-resolution paths to stakeholders and IQT Leadership Oversee development of technology architectures and solutions for AI-related government-partner problems Coordinate with customers on AI technology adoption strategies across multiple work programs Requirements U.S. Citizenship required Must meet eligibility requirements for access to classified information; active top-secret clearance preferred Advanced degree in a science or engineering discipline, or equivalent experience, preferred Minimum 5 years of professional experience, including time overseeing a technology development effort in a business and/or intelligence environment Demonstrated expertise in artificial intelligence or machine learning Previous experience negotiating milestone-based Statements of Work contracts Expertise in applied AI/ML, generative and multimodal AI, enterprise search, agentic systems, workflow automation, NLP, or production AI engineering Experience designing, evaluating, deploying, or securing LLMs, multimodal models, RAG systems, AI agents, or human-AI decision-support tools Knowledge of AI-enabled threat intelligence and cyber defense Understanding of AI security across data, models, prompts, retrieval, memory, tools, APIs, infrastructure, and third-party components Familiarity with AI threats including prompt injection, jailbreaks, unsafe tool use, data/model poisoning, evasion, model extraction, and sensitive-data leakage Knowledge of agent security, including identity, authorization, least privilege, sandboxing, containment, MCP security, and supply-chain integrity Experience with AI evaluation, assurance, and red teaming Knowledge of AI-enabled security operations Familiarity with privacy-preserving AI Understanding of explainable and auditable AI Experience using generative AI, world models, digital twins, or multi-agent simulations Familiarity with embodied AI, robotics, autonomous systems, reinforcement learning, and human-machine teaming Working knowledge of modern AI architectures Understanding of the AI lifecycle Experience with MLOps, LLMOps, or AgentOps and production infrastructure Hands-on experience with Python, JavaScript/TypeScript, Go, or Rust and cloud, GPU, API, container, or production data environments Ability to assess emerging AI technologies and evaluate mission value, limitations, risks, and adoption barriers Commitment to continued understanding of new AI technologies Ability to analyze complex problems, identify root causes, summarize analysis, and present recommendations to non-technical audiences Startup or entrepreneurial experience and ability to thrive in an entrepreneurial environment Comfortable presenting complex technology subjects to technical and non-technical audiences Prior experience working with the U.S. Intelligence Community Strong writing skills; technical writing and proposal/contract writing preferred Core Competencies Demonstrates expertise in Artificial Intelligence and Machine Learning, with a strong focus on applied AI technologies, technical diligence, and contract negotiation. Capable of providing thought leadership and technical oversight in AI-related government partnerships while effectively communicating complex technology concepts to diverse audiences. #J-18808-Ljbffr Jobtailor