Top Artificial Intelligence Jobs

Lead the development and integration of advanced AI-driven software systems for next-generation electric vertical takeoff and landing aircraft, ensuring reliability and safety in collaboration with cross-functional teams.

Lead and mentor teams to implement AI solutions, providing architectural guidance and ensuring high technical standards, while driving continuous improvement in engineering practices.

Responsible for the design and implementation of enterprise AI solutions, leading teams and collaborating with stakeholders to drive AI transformation in global operations.

Design and build AI solutions using machine learning algorithms, working on diverse applications to deliver robust and secure solutions.

The Director of Business Development will drive growth in the Physical AI sector by identifying market opportunities, managing strategic partnerships, and achieving revenue targets through effective sales strategies.

The Staff Machine Learning Engineer will optimize the inference layer for voice applications, focusing on model serving and real-time audio processing. Responsibilities include driving performance architecture, collaborating with model partners, and developing evaluation frameworks for STT and TTS models.

The Staff Platform Engineer will architect the Voice AI platform, focusing on real-time API reliability, autoscaling, and enhanced developer experience while collaborating on voice infrastructure and ML serving.

Lead UX design for an AI chat app, creating user flows, prototypes, and high-fidelity UI for web and mobile while collaborating with cross-functional teams.

The role involves building and integrating full-stack features for an AI chat application, focusing on reliable workflows and real-time AI interactions.

Develop logic design and RTL coding for AI SoC products, integrate IP blocks, perform quality checks, and mentor junior engineers.

The Technical Solution Architect will design and validate AI-native architectures, lead technical engagements, and support presales and delivery success with AI-native solutions.

As a Software Engineer II, you will design and implement AI solutions, collaborate with stakeholders, and maintain code quality. You'll leverage cloud services and container orchestration, guide junior engineers, and ensure production standards.

Design and build core systems for data processing and AI pipelines, ensuring reliability and scalability for enterprise clients while mentoring junior engineers.

The Quantitative Researcher (NLP) will use NLP for data feature construction, formulate research hypotheses for alpha generation, build and test trading signals, and launch signals into production.

As a Full Stack Engineer, you'll develop features for backend services and frontend interfaces, design architectures, and collaborate with clients. You'll own the complete lifecycle of features from ideation to deployment.

Build and deploy high-impact AI-native products, architect agent-driven workflows, and collaborate with teams to integrate cutting-edge AI solutions into production systems.

As AI Resilience Fund Manager, you'll establish and manage a fund focused on resilient investments, lead fundraising, and advise investors on navigating challenges created by AI and economic shifts.

The AI Accelerator Silicon Architect will define compute architecture, analyze performance, and collaborate with teams on silicon architecture for AI workloads.

The role involves managing full-cycle enterprise sales, including developing growth strategies, relationship building, and consultative selling in the AI and identity verification sectors.

The Director of Product will lead AI-powered seller tools, driving strategy, delivering features, and managing a high-performing team to enhance seller experiences.

As an AI-Enabled Product Manager Subject Matter Expert, you will validate the AI product management curriculum, provide feedback on instructional content, and utilize your extensive experience in shipping AI-powered features.

As a Principal AI Engineer, lead AI Accelerator projects, manage a multi-disciplinary team, and deliver generative AI solutions across various business processes.

As a Senior Strategic Customer Success Manager, you'll partner with enterprise customers, ensuring alignment with their goals, promoting product adoption, and leading initiatives to deepen trust and measure outcomes.

As a Data & AI Specialist, you will support nonprofit customers using Windfall's solutions, provide guidance, and handle user inquiries.

The AI-Forward Engineer will implement AI tools for various teams, enhance tooling with AI, and develop practical solutions across functions, promoting collaboration and acceleration of workflows.