In-Q-Tel

In-Q-Tel In-Q-Tel is an Affirmative Action Employer who values diversity in the workplace. EOE/M/F/disability/vets Technology Architect Fellow - AI Enablement US-VA-McLean Job ID: Type: Intern # of Openings: 1 Category: Technology Consulting IQT Overview The Technology Architect Fellow will assist IQT staff in working with innovative startup companies to accelerate the adoption of capabilities with IQT's mission partners. They will work in the AI Enablement practice, helping to cover technologies such as Generative AI, Agentic AI, Enterprise Software, novel Data, and the underlying software infrastructure stack. They will also assist in developing thought leadership that will help inform both IQT and government partners on topics related to AI and its disruptive path on their national security mission. This is an excellent opportunity for those interested in the startup ecosystem, venture capital, and the national security space. Applications will start being reviewed in November Responsibilities Assess frontier capabilities and companies in AI for impact and relevance to the national security mission. Develop strategies for evaluating AI systems such as models and AI agents. Support the development of technical assessment reports and AI system requirements specifications. Support technical due diligence of innovative AI startups for use in the national security mission. Support discussions and presentations with mission partners on AI-related technical issues. Participate in technical oversight of projects with startups, support discussions around use cases, deployment considerations, and adoption, and craft these projects into deals. Anticipated Projects: Lead or contribute to an assessment of frontier AI capabilities for the national security mission. Review technical problem statements and use cases from government partners and identify AI capabilities to meet these mission needs. Participate in discussions with AI-focused startup companies, supporting the technical vetting and due diligence process for potential investments. Qualifications Due to contractual reasons, U.S. Citizenship is required Experience with software, such as through the software development lifecycle, operations, product, or through enterprise rollouts. Experience in evaluating AI systems such as models and agentic workflows is a plus. Candidate for a graduate degree, in computer science, machine learning, or related engineering or science discipline. Ability to perform research in both technical disciplines and startup companies. Ability to communicate complex AI subjects to technical and non-technical audiences. Strong writing skills, with experience in AI technical writing and proposal writing. 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. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. PM22 PI70181eb9b4fe-9718