Top Artificial Intelligence Jobs

Develop AI capabilities using Microsoft tools, integrate AI solutions within enterprise systems, ensure compliance and security, and collaborate with team members for continuous improvement.

The Software Engineer (Back End) develops server-side logic and functionality for the Blueflame AI platform, focusing on database management, API development, security implementation, and performance optimization in collaboration with other teams.

The role involves identifying collaboration opportunities, evaluating investments in AI and gaming, and planning business incubation strategies.

The VP, AI Engineering will lead AI strategy and execution, overseeing AI solutions that drive measurable outcomes in healthcare. Responsibilities include team leadership, AI architecture, and collaboration with stakeholders.

The AI Engineer IV will lead the development and implementation of AI systems, influence architecture decisions, mentor team members, and ensure best practices in a hybrid work environment.

The Chief of Staff will support the Managing Director of AI, driving AI transformation, designing automated systems, managing client engagements, and ensuring effective delivery and operational strategies within the organization.

Responsible for designing and managing cloud architectures, migrating client systems to the cloud, optimizing data pipelines, and mentoring team members.

The Principal Product Manager will design and lead AI-driven systems for pricing intelligence, financial reconciliation, and supplier performance reporting in the travel sector, collaborating with data science and engineering teams.

Lead the development of pricing intelligence and reconciliation systems for travel services, focusing on AI-driven insights and cross-functional execution.

As a System Engineer, you'll design, deploy, and maintain cloud systems for AI workloads, troubleshoot complex issues, and collaborate with teams to optimize performance.

The Solutions Specialist will drive cross-sell opportunities for AI solutions, educating customers and providing technical expertise throughout the sales process, and collaborating with internal teams to meet client needs.

The Director of Product Management for AI Generation Engine will lead product strategy and execution in Finance & Risk Modeling, focusing on innovative AI solutions and close collaboration with financial services clients.

The AI Engineer will design, prototype, and deploy RAG pipelines and agentic workflows to process unstructured data for Government and Military clients. Responsibilities include collaborating on architecture and delivering technical reports while ensuring systems are scalable and reliable.

Lead development and deployment of real-time, on-device computer vision models for outdoor home monitoring. Architect, train, and optimize transformer/CNN-hybrid models for embedded cameras, ensuring accuracy, latency, memory, and power budgets. Collaborate with firmware and platform teams, define evaluation strategies, perform failure analysis, improve long-tail robustness, and mentor engineers while setting technical direction and best practices for reproducible edge ML workflows.

Develop, fine-tune, and deploy LLMs and vision-language models for home security products. Lead research initiatives from ideation to production, collaborate with engineers and product managers, evaluate new multimodal techniques, and integrate capabilities into existing systems to drive business impact.

Design and prototype AI-enabled product experiences from early exploration through iteration. Define interaction models, UX patterns, and principles; conduct lightweight research; partner with Product, Engineering, and Research; and elevate AI design literacy across the organization.

The Director of Engineering for AI Platform leads the development of a cohesive AI experience stack, modern engineering practices, and collaboration with product teams, ensuring a user-focused platform.

The role involves managing training infrastructure, implementing distributed training algorithms, and collaborating with AI researchers on model training.

Lead the development of AI products, design scalable systems, advance AI foundations, collaborate with stakeholders, ensure quality practices, and mentor engineers.

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

The Forward Deployed Engineer will embed within customer teams to solve complex business problems, drive AI adoption, and provide feedback to the Product team.

As an engineering intern, you will develop AI solutions, collaborate with teams, optimize algorithms, document your work, and showcase projects.

Seeking a Senior AI/ML Engineer with expertise in machine learning frameworks to support a U.S. Government customer on critical software systems.

The AI Research Engineer will design, build, and deploy AI systems for therapeutic discovery, collaborating with interdisciplinary teams and applying advanced AI techniques to improve model performance.

Lead Growth product strategy and execution to drive customer acquisition and onboarding. Partner with GTM, Engineering, Design, and Data to build AI/ML models, automation, and tooling. Set goals, manage product managers, analyze funnel metrics, and operationalize solutions to improve GTM efficiency and business growth.