Top Artificial Intelligence Jobs

Lead complex client engagements in data engineering and digital transformation, advising C-suite executives on data strategy, architecture, and implementation. Architect and optimize scalable data solutions while mentoring teams and driving business development.

Support development of scalable data pipelines, AI/ML models, and visualization tools to analyze SSD telemetry. Collaborate with cross-functional teams to integrate analytics into SSD development workflows and build cloud-based ingestion and dashboard solutions.

Lead development of innovative frontend features for PMG's AI-powered tool, Alli, mentoring teams, and ensuring high-quality applications.

Lead product management for an AI-native, mobile-first marketing platform, driving growth, mentoring teams, and collaborating across departments.

The AI/ML DevOps Engineer will initiate AI/ML initiatives, develop large language models, support CI/CD pipelines, and collaborate with team members to enhance data comprehension for customer missions.

Lead a team of senior ML Engineers in impactful AI/ML projects, focusing on healthcare technology and team development.

Lead enterprise AI forecasting strategy and roadmap across demand, supply, MRP, production, and financials. Translate business needs into AI product requirements, coordinate cross-functional delivery, drive deployment and scaling of forecasting models, and communicate outcomes to senior leadership while ensuring adoption through governance and training.

The role involves developing AI technology for contract management, analyzing contracts, collaborating with teams, and automating processes.

As a Director and AI & Data Lead, you will oversee AI solutions delivery in financial services, lead teams, advise clients, and drive business development.

The Sr. Director of AI Integration will drive AI/ML solutions across the organization, ensure integration into systems, and manage stakeholder engagement.

The Director of Software Product Management will establish and drive the Enterprise AI Orchestration strategy, focusing on managing AI agents, product development, and organizational leadership in the pharmaceutical space.

The Director of Product, AI will lead AI product development, define strategy, collaborate cross-functionally, and ensure compliance with regulations.

The AI Engineer will build and deploy AI/ML/DL models, prepare datasets, test and evaluate model performance, and deploy solutions using containers, focusing on real-time analytics in remote locations.

Lead the development of AI products, manage the product lifecycle, engage with customers, and drive execution for AI solutions in industrial and public sectors.

The Director of AI & Data Analytics will lead the AI strategy, mentor teams, build scalable data solutions, and ensure data governance, focusing on transforming data into actionable insights.

The Principal Embedded Software Architect will design the software architecture for low-power Edge AI MCUs, leading decisions for functionality and performance, partnering with hardware teams, and mentoring engineers.

Lead the design and development of machine learning solutions, overseeing the entire software development lifecycle and mentoring engineers. Drive innovation in Generative AI and high-performance systems.

As an MLOps Engineer, you will scale machine learning products, manage training and deployment pipelines, and improve DevOps processes.

As an AI & Software Engineering Senior Manager, you'll lead a team in developing innovative digital marketing solutions using advanced technologies, including AI and the MERN stack. You will oversee a multi-year product roadmap, design scalable solutions, and mentor engineers while fostering a collaborative work environment.

The AI/ML SME will design and implement machine learning models for IT telemetry, collaborating with engineers and operators to enhance operational intelligence.

Lead engineering efforts for AI-driven solutions in healthcare, focusing on advanced automation and EMR integration to enhance provider efficiency and patient care.

The Palantir Platform Engineer designs and implements automation solutions within the Revenue Cycle group, focusing on optimizing workflows and operational efficiency through Palantir's ecosystems.

The AI/ML DevOps Engineer will develop algorithms, build predictive analytics, and maintain CI/CD pipelines to support AI/ML initiatives for customers.

As a Senior AI Engineer, you will design AI solutions, collaborate with clients, write production code, and support business development.

The Senior Analyst will conduct research on AI governance, create reports, consult with clients, and promote research through various media while collaborating across teams to enhance AI applications.