Artificial Intelligence Jobs in Arlington, TX

Provides strategic cybersecurity architecture leadership across applications, data, networks, cloud, SaaS, and emerging AI technologies. Develops security requirements, designs secure technical architectures, assesses risk, improves security frameworks, supports SDLC activities, and supervises cybersecurity testing. Partners with business and executive stakeholders to enable strategic initiatives while strengthening security controls and resolving complex technical challenges.

Develop and maintain scalable cloud-native web, mobile, API, and data products; migrate services to public cloud; implement CI/CD and test automation; contribute to Agile teams, troubleshoot production issues, and promote secure, high-quality software practices.

The Staff Level AI Engineer will innovate applied AI methods, enhance user experience through AI, and architect AI infrastructure for a SaaS platform, collaborating across product and engineering teams to drive business value.

The Senior AI Engineer will innovate AI solutions for product capabilities, enhance user experiences, build scalable infrastructure, and collaborate across teams to implement AI features effectively.

Design and implement automated ML and integration solutions, including data pipelines, LLM/AI integrations (Amazon Bedrock, Databricks), malware analysis automation, API integrations, feature engineering automation, monitoring, and scaling pilot systems to production while collaborating with analysts and documenting solutions.

Pioneering machine learning solutions for the defense sector, developing and deploying production-grade ML models, tackling complex data challenges, and collaborating with engineers.