Artificial Intelligence Jobs in Arlington, TX

Make live outbound calls for B2B technology companies, engage gatekeepers and decision-makers, qualify prospects, and book attended meetings. Use an AI-enabled platform for lead lists, dialing, call preparation, and coaching. Complete training and certification, follow approved customer scripts, meet quality standards, and work flexible hours as an independent contractor paid entirely by commission.

Provides technical thought leadership and subject matter expertise to business leaders, influencing strategic initiatives, projects, process improvements, and cross-team solutions. The role drives innovation, operational excellence, change adoption, and business agility while balancing risk and investment. It requires extensive related experience, leadership through mentorship and influence, strong business acumen, relationship management, and responsible use of AI tools.

Develop and execute enterprise AI and data strategies for clients, including AI value cases, operating models, talent strategies, technology roadmaps, responsible AI plans, and commercialization opportunities. Build trusted C-suite relationships, lead transformation workstreams, shape new business opportunities, and guide large-scale AI-enabled reinvention initiatives. The role requires consulting experience, strong program management and communication skills, leadership capability, and up to 80% travel.

Evaluate AI coding-agent interactions for usefulness, correctness, engineering judgment, reasoning quality, and developer trust. Provide clear, opinionated feedback, distinguish response-quality levels, and help define standards for excellent interactions with tools such as OpenAI Codex, Claude Code, and Cursor. This contract role requires staff- or principal-level software engineering experience and familiarity with modern AI-assisted development workflows.

Conduct research, experimentation, evaluation, and prototyping of AI, machine learning, big data, and serverless technologies for financial applications. Collaborate with statisticians, data engineers, developers, IT teams, and business partners to assess emerging technologies, develop solutions, and support their integration into applications. Present findings, evaluate AI outputs for accuracy and bias, and contribute to innovation initiatives in a financial technology lab.

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.

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