Herndon, VA

26-1117: AI Engineer 2 - Herndon, VA

USD 120K–135K / yearMidData and machine learning

LLM

Original posting ↗Apply ↗Company job board ↗

26-1117: AI Engineer 2 - Herndon, VA is an open role at Navitas Business Consulting, a tech services company in consulting, agencies and business services. The job is based in Herndon, United States. Our labels mark it as a mid-level role in data and machine learning. Technologies named in the posting: LLM. It asks for 7+ years of experience. A university degree is required. Navitas Business Consulting has 26 open positions on this site, 13 of them in IT and engineering.

Posted 25 days ago · Last checked 2026-10-30

About Navitas Business Consulting

Consulting, agencies and business services Tech services / agency / consultancy 26 open positions, 50% in IT and engineering. Most open roles: DevOps / SRE / platform / cloud (5), Data and machine learning (3), Healthcare (3).

All open jobs at Navitas Business Consulting →

Similar jobs

Senior Data EngineerCare Access · USA RemoteRemote Senior Machine Learning EngineerQualtrics · Seattle, Washington, United StatesUSD 177.5K–216K / year Lead Product Data Scientist, ForecastingKlaviyo · Boston, MAUSD 172K–258K / year Lead Product Data Scientist, AgentsKlaviyo · Boston, MAUSD 172K–258K / year Member of Technical Staff - ML Research Engineer, Pre-Training DataLiquid AI · San FranciscoHybrid Senior Data Scientist, MethodologiesTilt Finance · Remote - US | Remote - EUUSD 164K–192K / year Research Scientist, Life Sciences (Large Molecules, Antibody Design) Anthropic · San Francisco, CAUSD 300K–320K / year Staff Data Scientist, Actuarial Nourish · New York, NY

1,103 open data and machine learning jobs in the United States All open jobs at Navitas Business Consulting →

Workplace	Workplace not stated
Seniority	Mid
Role	Data and machine learning
Countries	United States
Employment type	FULL_TIME
Key facts	Stack: LLM · Experience: 7+ years · Degree required · Security clearance required

The full description is on the original posting. Labels are set automatically and can be wrong. About the data