In-Q-Tel
In-Q-Tel

Technology Architect - AI

McLean, VA, US • Posted 9 hours ago • Updated 9 hours ago
Full Time
On-site
Fitment

Dice Job Match Score™

🛠️ Calibrating flux capacitors...

Job Details

Skills

  • IT Consulting
  • Large Language Models (LLMs)
  • DoD
  • Investments
  • Thought Leadership
  • Use Cases
  • Leadership
  • Security Clearance
  • Science
  • Management
  • Negotiations
  • Machine Learning (ML)
  • Enterprise Search
  • Workflow
  • Natural Language Processing
  • Decision Support
  • Threat Analysis
  • Extraction
  • Authorization
  • Microsoft Certified Professional
  • Supply Chain Management
  • Threat Modeling
  • Incident Management
  • Security Operations
  • Vulnerability Assessment
  • Malware Analysis
  • Digital Forensics
  • Privacy
  • Generative Artificial Intelligence (AI)
  • Testing
  • Reasoning
  • Robotics
  • Training
  • Evaluation
  • Machine Learning Operations (ML Ops)
  • Python
  • JavaScript
  • TypeScript
  • Rust
  • Cloud Computing
  • GPU
  • API
  • Marketing
  • Artificial Intelligence
  • ROOT
  • Startups
  • Presentations
  • Technical Writing
  • Proposal Writing
  • Writing
  • Preventive Maintenance
  • Project Management
  • Performance Management

Summary

In-Q-Tel

In-Q-Tel is an Affirmative Action Employer who values diversity in the workplace. EOE/M/F/disability/vets

Technology Architect - AI

US-VA-McLean

Job ID: 2026-1450
# of Openings: 1
Category: Technology Consulting
IQT

Overview

This position will work closely with IQT's government partners to understand their technology challenges and use their mastery of technology to investigate and recommend potential solutions from the venture-backed startup ecosystem, for both immediate mission needs and long term readiness. The Technology Architect team is responsible for identifying and executing investments in technology areas including (but not limited to) artificial intelligence, machine learning, enterprise search, AI automation, custom Large Language Models (LLMs), physical AI, and the security of AI systems. This position will guide the technical aspects of an investment to ensure that IQT delivers effective and compelling solutions to our Intelligence Community/Department of Defense government partners.

Responsibilities

  • Identifies new AI/ML technology areas for investment and provides technical diligence on multiple complementary investments in that technology area.
  • Develop and negotiation of Statements of Work contracts between IQT and start-up companies.
  • Provides thought leadership in one or more areas of AI/ML subject matter expertise.
  • Leverages technical/market experience and understanding of government partner use cases to identify new topics for, and oversee development of, technical engagement strategies across short- and long-term development horizons.
  • Provide technical oversight on work programs; perform assessments of work program deliverables. Identifies and communicates paths for resolution of issues on work programs to key stakeholders and IQT Leadership.
  • Oversee development of technology architectures and solutions to address AI-related problems faced by IQT's government partners.
  • Coordinates with customers on AI technology adoption strategy in development of multiple work programs in a government partner mission area.


Qualifications

Minimal Qualifications

  • Due to contractual reasons, U.S. Citizenship is required.
  • Candidates with active top-secret clearance preferred; at a minimum, candidate must meet eligibility requirements for access to classified information.
  • Advanced degree in a science or engineering discipline (or equivalent experience) preferred.
  • Minimum 5 years professional experience with some portion of that 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.


Preferred Qualifications

  • Demonstrated e xpertise 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, including detection, vulnerability prioritization, incident investigation, and response.
    • Understanding of AI security across data, models, prompts, retrieval, memory, tools, APIs, infrastructure, and third-party components.
    • Familiarity with AI threats such as prompt injection, jailbreaks, unsafe tool use, data or 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, including threat modeling, adversarial testing, safety evaluations, monitoring, and incident response.
    • Knowledge of AI-enabled security operations, including threat hunting, vulnerability analysis, malware analysis, digital forensics, alert triage, and detection engineering.
    • Familiarity with privacy-preserving AI, including federated learning, differential privacy, secure aggregation, confidential computing, and multiparty computation.
    • Understanding of explainable and auditable AI, including interpretability, uncertainty, evidence traceability, and decision provenance.
    • Experience using generative AI, world models, digital twins, or multi-agent simulations for red teaming, mission rehearsal, synthetic data, and defensive testing.
    • Familiarity with embodied AI, including vision-language-action models, spatial reasoning, robotics, autonomous systems, reinforcement learning, and human-machine teaming.
    • Working knowledge of modern AI architectures, including Transformers, mixture-of-experts, diffusion, state-space, retrieval, multimodal, agentic, and edge AI systems.
    • Understanding of the AI lifecycle, including data preparation, training, adaptation, evaluation, deployment, monitoring, governance, and retirement.
    • Experience with MLOps , LLMOps , or AgentOps practices and supporting production infrastructure.
    • Hands-on experience with Python, JavaScript/TypeScript, Go, or Rust and with cloud, GPU, API, container, or production data environments.
    • Ability to assess emerging AI technologies, separate demonstrated performance from marketing claims, and evaluate mission value, limitations, risks, and adoption barriers.
  • Commitment to continued understanding of new AI technologies and their strategic advantages.
  • Capable of analyzing complex problems including identifying root cause issues, generating a concise summary of analysis; and presenting recommendations for non-technical audiences.
  • Startup or entrepreneurial experience and proven ability to thrive in a non-traditional, entrepreneurial environment.
  • Comfortable presenting complex technology subjects to both technical and non-technical audiences.
  • Prior experience working with the U.S. Intelligence Community.
  • Strong writer: experience in both technical writing and proposal/contract writing is preferred.

To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed are representative of the knowledge, skill, and/or ability required . Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

PM22

PI739203327f7d-1
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: jobtfeed
  • Position Id: 739203327f7d-30632-41236301
  • Posted 9 hours ago
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