Top Artificial Intelligence Jobs

AI and Technology Consultants work with clients to deliver strategic initiatives, requiring technical and business acumen, and strong collaboration skills. They excel in cloud strategies, DevOps, app development, and agile methodologies.

AI and Technology Consultants collaborate with clients to implement strategic initiatives, focusing on cloud strategies, development, and transformation projects across various industries.

The Head of AI will define and execute an AI roadmap, lead research initiatives, mentor the AI team, and collaborate with senior leadership to enhance health technology.

As an AI and Technology Consultant, you'll collaborate with clients to deliver strategic initiatives, leveraging technical and business skills in areas like Agile Transformation and Cloud Strategies.

AI and Technology Consultants at SEI assist clients from all levels, delivering strategic initiatives using technological expertise while promoting collaboration and agile transformation.

Manage AI compute clusters, monitor systems health, optimize resources, and troubleshoot technical issues, ensuring high performance for ML applications.

AI and Technology Consultants work with clients to implement strategic initiatives, leveraging technical skills and business acumen across various technologies and methodologies.

AI and Technology Consultants help clients from various organizational levels navigate strategic initiatives by leveraging technical expertise and strong communication skills.

AI and Technology Consultants work with clients to implement strategic initiatives, focusing on cloud and technology strategies, DevOps, and agile transformations.

As an AI Engineer, you will develop new AI products, iterate with a small team, and apply various GenAI techniques to enhance educational experiences.

The Senior Applications Engineer will design ATE test interface solutions, oversee hardware concepts, conduct PCB layout, and support customer testing requirements.

The role involves designing AI solutions for medical applications, automating processes, and collaborating with various teams to enhance product efficiency.

As a Senior Security Engineer, you will enhance cybersecurity posture, mentor staff, manage compliance, utilize AI tools, and develop scripts for monitoring. You will guide risk-based remediation and ensure proper AI usage in security workflows, collaborating with teams to document and improve cybersecurity practices.

Design and deliver AI Agent solutions to improve efficiency in clinical trials and regulatory processes, collaborating with engineering and UX teams.

The Principal Architect will lead AI/ML solutions, mentor teams, and collaborate with clients to design and deliver scalable systems using Google Cloud technologies, ensuring compliance with ethical standards.

The Security Engineer will design and implement security controls, enhance security posture, collaborate with IT, and leverage AI tools for cybersecurity. Key responsibilities include managing documentation and leading security initiatives.

Conduct market research and competitive analysis on computing and AI hardware/software; author reports and forecasts; maintain market intelligence; promote research through events and press; support sales, business development, and other analysts with client-specific analysis and presentations.

Translate scripts into cinematic short films using AI production tools; select and refine generated footage; shape pacing and emotional continuity; build cohesive edits from script to final cut; provide creative feedback and balance ambition with practical execution.

The Physical AI Architect will design and oversee the implementation of perception, planning, and control systems in robotics, focusing on optimal control and diffusion-based AI techniques while ensuring successful hardware integration.

Lead development and scaling of a multi-tenant agentic AI platform, writing production code and guiding architecture. Build agent frameworks, RAG and vector/graph integrations, fine-tuning pipelines, and collaborate with SMEs and frontend teams to deploy agent-driven enterprise workflows.

Develop and maintain AI systems, collaborate with teams, debug production issues, and mentor engineers to ensure high-quality AI features.

As a Senior Applied AI Engineer, you will design, build, and maintain AI systems using LLMs and backend services, ensuring reliability and performance in production. Responsibilities include developing workflows, monitoring AI behaviors, and collaborating across teams to enhance engineering standards.

The Applied AI Lead will develop go-to-market strategies, produce technical marketing materials, and collaborate with teams to promote Tellius' AI capabilities.

Lead and manage a team responsible for AI developer workflows and cloud agent platforms, ensuring reliability and guiding technical strategy. Collaborate with cross-functional teams to enhance engineering productivity through AI tools and workflows.

Provide technical support to public sector and enterprise customers, troubleshoot complex issues, translate security/compliance needs (FedRAMP), automate tooling via scripting and AI, collaborate with engineering and product teams to resolve issues, improve processes, and provide on-call coverage.