Artificial Intelligence Jobs in Richardson, TX

The Technical Project Manager will drive complex initiatives in the Claims Technology portfolio, managing risks, fostering collaboration, and enhancing Agile practices across teams.

Lead the identification, evaluation, and analysis of technology and cybersecurity risks. Provide comprehensive assessments and collaborate with teams to remediate vulnerabilities.

Lead diverse technology projects and a team of developers, focusing on cloud-based solutions to address regulatory needs and enhance customer experience. Mentor developers and experiment with emerging AI and technology trends.

The Product Manager leads product development for mainframe software, focusing on customer needs, engagement, and cross-functional collaboration to ensure market success.

Lead the design and implementation of AI-driven operations for telecommunications, focusing on automation, cross-functional collaboration, and team management.

The role manages teams developing strategies to understand risks, optimize performance, and drive analytics for fraud prevention, while building relationships across departments.

Lead the design and deployment of AI-driven workflows, managing development teams and overseeing project execution to enhance voice communication in retail environments.

The AI Solutions Engineer will design, implement, and optimize AI solutions to enhance operational efficiency, collaborating across teams within a hybrid work environment.

Lead the design and implementation of machine learning models for 3D data retrieval and representation, optimizing processes and mentoring teams.

Lead the implementation of Microsoft 365 solutions focusing on AI-driven productivity, ensuring governance, compliance, and collaboration across teams.

The AI Product Manager will define product strategies, lead development teams, manage AI products through their lifecycle, and ensure adherence to responsible AI practices.

The Demo Specialist will create impactful demos for life insurance software solutions, collaborating with multiple teams and staying current with industry trends.

The Gen AI Engineer will work with Generative AI technologies, AWS services, Python programming, and data management, including ETL processes.

Lead the operationalization of AI-assisted software development across teams, upskilling engineers in AI tools, and improving productivity.

The Tax AI Associate role involves supporting AI adoption in tax processes, enabling professionals through training, requirements gathering, and collaborative tool building to enhance efficiency and outcomes.

Design, develop and maintain data pipelines and ETL processes. Collaborate with cross-functional teams to implement AI solutions and ensure data quality.

As a Principal Engineer, you'll design and develop solutions for the Exchange Platform, influencing project outcomes and managing team dynamics while ensuring technical excellence and maintenance of existing solutions.

As the Staff Conversational AI Engineer, you'll architect and implement conversational AI solutions using Google's CCAI suite, lead teams, and improve member engagement through advanced AI-driven interactions.

The VP of Data and AI at Ziosk will lead AI and machine learning initiatives, manage teams, oversee data governance, and collaborate across departments for impactful solutions.

The Principal Product Manager will lead the AI Infrastructure team to develop AI/ML platforms, ensuring scalability, security, and alignment with business goals, while mentoring team members and driving innovation in AI technologies.

The AI Solutions Architect will optimize quoting, streamline processes using AI, enhance technical support, develop training, and advance forecasting and analytics for power systems.

The AI Solutions Senior Consultant manages AI project delivery, develops client relationships, mentors juniors, and contributes to business development in AI consulting.

Design and implement AI-powered payment solutions, focusing on backend architecture, agent workflows, and cross-functional collaboration with product and design teams.

Lead the design and delivery of AI/ML-powered features. Responsibilities include backend architecture, technical strategy, mentoring, and collaborating with cross-functional teams to enhance the product's capabilities.

The Learning & Development Business Analyst will support AI-driven learning technology solutions by translating requirements, executing tests, and coordinating with teams for successful implementation.