Top Artificial Intelligence Jobs

Design and implement AI-driven tools to improve workflows across teams. Collaborate to identify internal problems AI can solve, and prototype solutions quickly.

The Senior Software Engineer will build and launch an AI voice agent SaaS platform, working across various stacks, while leading product development in a high-paced, agile environment.

The Lead AI Platform Engineer will drive the evolution of engineering platforms for healthcare solutions, leading design and implementation of platform services for AI teams while ensuring security, scalability, and compliance with regulatory standards.

Design, implement and optimize AI solutions, manage data pipelines, troubleshoot AI applications, and advise stakeholders on AI strategy in a technical leadership role.

Drive UX concept development for AI-powered products, collaborating with multidisciplinary teams to create user-centered interaction models and high-fidelity designs.

The Manager, AI Outcomes is responsible for leading a team to ensure customer success in adopting Glean's AI solutions, develop adoption playbooks, engage with stakeholders, and measure ROI and user transformation.

The Google AI Architect will design and deploy an AI bot on Google Cloud for billing processes and citizen services, ensuring compliance and scalability.

The role involves designing educational content for quantum computing, utilizing AI and machine learning for community engagement and customer training.

The AI Deployment Strategist will lead customer engagement with AI solutions, managing relationships, coordinating with teams, and ensuring successful implementation and ROI for clinics.

As AI & Data Lead, manage Guidehouse’s AI & data initiatives for public sector financial services, advising executives, leading teams, and ensuring delivery excellence while driving business development.

This role involves leading AI industry solutions for the energy sector, engaging with clients, and developing strategic AI product roadmaps. Responsibilities include designing architectures, collaborating with partners, and establishing thought leadership.

The Engagement Manager manages project execution, collaborates with technical teams on AI solutions, develops client relationships, and coaches consultants.

Lead AI Engineer responsible for guiding AI engineering teams, overseeing solution design, ensuring code quality, and mentoring AI engineers.

The role involves designing AI workflows, monitoring market and brand metrics, ensuring messaging compliance, managing influencer relationships, and analyzing competitor media. It incorporates project management and requires strong analytical and communication skills.

Design, develop, and lead end-to-end software solutions with emphasis on AI enablement. Lead investigations, mentor engineers, drive technical strategy, implement LLM integrations, and ensure production readiness and system health.

As a Lead Infrastructure Developer, you will enhance AI platforms, design cloud-native infrastructures, and mentor teams to ensure performance, security, and compliance in AI solutions.

As a Senior Infrastructure Developer, you'll enhance AI platforms by automating infrastructure, implementing CI/CD pipelines, and ensuring security compliance. You'll collaborate across teams to deliver reliable, scalable solutions while leveraging cloud technology and infrastructure best practices.

As Director of Infrastructure Developer for AI Platforms, you'll lead architectural direction and technical strategy for AI systems, define platform standards, and mentor engineers while driving infrastructure capabilities.

Design and implement Intel's neuromorphic AI software stack, collaborating on optimised algorithms and integrating software with robotics and IoT frameworks.

The role involves developing AI solutions, conducting research, mentoring juniors, and collaborating with teams to implement machine learning algorithms for complex problems.

The role involves building automation frameworks with Java and Playwright, validating GenAI chatbot behavior, and maintaining CI/CD pipelines in an autonomous engineering environment.

The AI Platform Architect will lead the design and optimization of the EisnerAI Platform on Azure, ensuring performance, reliability, and cost efficiency, while mentoring teams across the organization.

Develop and integrate AI features in Signals Notebook, collaborate with teams, ensure reliability and performance, and craft reusable code.

The .NET Developer - AI & Platform Engineering designs and optimizes enterprise applications, implements AI features, mentors teams, and leads technical initiatives in a cloud environment.

Drive growth for SaaS products through AI-driven marketing strategies, optimize user experiences and funnels, execute SEO, and manage paid campaigns while analyzing performance metrics and automating processes.