Top Artificial Intelligence Jobs

Lead the development of generative AI solutions for Zoox, focusing on enhancing customer experience and operational efficiency through product vision and collaboration.

As a Staff/Principal AI Engineer, you'll design and implement AI strategies for legal tech, lead engineering teams, and guide AI projects while collaborating across departments.

The Staff ML/AI Engineer will design ML/AI systems, mentor engineers, collaborate across teams, and ensure models are effective and robust.

Responsible for delivering technical enablement and adoption services for OpenAI's product suite, training customers on usage, and ensuring sustained product adoption and measurable business value.

The role involves designing AI systems, integrating machine learning models, automating tasks, and collaborating on product integration. Participation in risk assessment and compliance is also required.

The Senior AI Product Manager will bridge AI research and user experiences, ensuring product quality and leading rapid prototyping and market strategy.

The AI AppSec Engineer V will secure AI solutions, mentor teams, and ensure the integration of security into AI development lifecycles. Responsibilities include threat modeling, code analysis, and contributing to security policies.

As a Software Engineer at Sixfold, you will build and deliver quality software, collaborate with cross-functional partners, and grow as a full-stack developer while engaging in the AI pipeline and machine learning tools.

Lead the vision and strategy for Voice AI Agent capabilities, defining the product roadmap and collaborating with cross-functional teams to optimize customer interactions for improved revenue and experience.

Design and implement systems software for high-performance GPU clusters. Debug complex distributed systems and own the systems lifecycle from design to production.

Lead and manage the development of data engineering and machine learning systems, ensuring high-performance and reliability of data pipelines and ML models. Collaborate with stakeholders and mentor team members in a dynamic environment focused on driving financial wellness through advanced technologies.

The Applied AI Engineer will design, build, and deploy enterprise-grade AI agents using LLMs, collaborate with customers, and mentor teams to enhance engineering quality.

The role involves partnering with customers, designing and deploying AI agents, optimizing workflows, and ensuring successful implementations while focusing on customer satisfaction.

As the AI Solutions Lead, you will drive customer adoption of Union Cloud and Flyte, optimize AI workflows, and ensure strategic account management while collaborating with internal teams and customers.

The Senior Director of AI Solutions will lead the strategy and execution for AI and ML applications across Chainguard's go-to-market organization, focusing on revenue growth and operational efficiency through innovative AI solutions.

Lead technical design and implementation of AI solutions, integrating AI into GTM workflows and ensuring compliance with standards, while collaborating with various teams.

As an SEO & AI Strategist, you'll create and implement SEO and AI search strategies to enhance clients' organic visibility and performance. Responsibilities include keyword research, technical SEO audits, performance tracking, client collaboration, and competitive analysis.

As a Lead Data Engineer, you'll design and implement AI-powered data systems, focusing on natural language queries and scalable frameworks. Collaborate with teams to optimize data access and enhance reporting tools.

Assist sales teams in lead generation, product demos, and CRM management while learning customer engagement strategies and preparing technical proposals.

This role involves architecting and implementing ML-driven ads ranking and recommendation systems, focusing on performance, privacy, and continuous improvement. The engineer collaborates with cross-functional teams to translate product goals into scalable systems.

The Engineer III - AI designs intelligent systems, leads AI reliability efforts, collaborates on performance metrics, mentors engineers, and focuses on effective communication to solve complex issues.

The Azure AI Foundry Consultant is responsible for designing, implementing, and managing AI solutions on Azure, integrating AI services, training users, and collaborating with teams to develop scalable AI infrastructures.

The Azure AI Applications Engineer will lead the development and implementation of intelligent applications using Azure AI services, while architecting solutions, mentoring junior engineers, and collaborating on project delivery across multiple sectors.

Develop user-facing products and features using modern technologies, collaborating with design and back-end teams to solve complex challenges.

The Principal AI Platform Engineer will design and implement AI-augmented SDLC platforms, integrating intelligent automation into software development while mentoring teams and ensuring reliability and compliance.