- 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.
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