Top Artificial Intelligence Jobs

The AI Solution Engineer executes analytics workflows, maintains data pipelines, monitors ML models, and supports supply chain data ingestion on a hybrid work model.

Lead integration, validation, and performance characterization of Lumai Iris server units; perform system bring-up and on-site troubleshooting in data centres; train operators and act as primary technical contact; feed deployment feedback into product and engineering.

Lead the design and development of scalable AI platforms, collaborate with teams to deliver AI solutions, and mentor AI engineers. Focus on machine learning, generative AI, data architectures, and ensuring compliance with security and governance standards.

The Project Program Manager will lead multiple AI-related projects, ensuring timely delivery and high standards while managing client communications and team accountability.

Design and deliver agentic systems for enterprises, integrating tools and data while ensuring safety and compliance. Collaborate with clients to optimize business workflows and system architectures.

Seeking Applied Scientist to build scalable AI systems for estate planning, focusing on production-grade applications and document understanding using advanced AI models.

The Senior Software Engineer will build foundational AI infrastructure, design platforms and tools for AI applications, ensure reliability, and collaborate with AI teams to support production cases.

The Senior VP of IT for Enterprise Data and AI will define product vision, build scalable data platforms, enable analytics, and lead teams while ensuring data governance and operational excellence.

Lead AI Quality Engineering initiatives for enterprise AI, establishing AI-native testing, validation, runtime quality controls, observability, and automation. Coordinate cross-functional validation, release readiness, and production reliability for LLM-enabled workflows and AI platforms. Mentor teams and drive adoption of AI-assisted testing, telemetry analysis, and continuous improvement across healthcare-related AI solutions.

Lead design, development, deployment, and support of enterprise intelligent automation using Power Platform and UiPath. Partner with stakeholders to identify automation opportunities, build scalable solutions, integrate with systems, deliver dashboards, enforce governance, troubleshoot complex issues, lead projects and mentor team members to drive automation CoE and continuous improvement.

The AI Architect at Marsh will design and integrate AI capabilities into existing systems, drive technology evaluations, and document architecture for engineers and AI agents.

The AI Engineer will develop AI tools, work on LLM frameworks, optimize data pipelines, and support security assessments, requiring collaboration with various stakeholders.

The role involves building and evolving the developer platform, focusing on CI/CD automation, developer tooling, and improving observability and operational excellence.

As a Software Engineer, Applied AI, you'll design and improve systems for agents, conduct evaluations, and influence product decisions based on real usage data.

The Physician AI Researcher role focuses on enhancing medical documentation and coding through AI technologies, collaborating with clinical and technical teams to improve accuracy and user experience. Key responsibilities include prototyping AI models, designing experiments, and curating datasets.

The Clinical AI Adoption Lead oversees AI implementation and adoption in healthcare settings, ensuring integration into workflows and sustainable usage while guiding stakeholders through the transition process.

As an AI Principal Product Manager, you will manage AI initiatives, define product vision, measure metrics, and lead teams to drive the product roadmap and customer satisfaction.

Join the AI team to build automation features in AI/ML, owning projects from concept to integration, and collaborating with leadership.

The role involves leading the architecture, development, and scalability of fullstack systems for AI agents while mentoring engineers and making technical decisions.

The role involves designing and building fullstack systems for AI agents, along with research and collaboration across teams to improve user experience.

The role involves enhancing a graph compiler for ML models, optimizing performance across hardware platforms, and collaborating on core technologies.

Lead enterprise AI high-level design and reference architecture across the SDLC. Define target operating environments, non-functional requirements, integration and governance patterns, and enable developer workflows. Collaborate with platform, security, data and delivery teams to ensure scalable, resilient, and auditable AI-enabled solutions and drive architecture adoption and standards.

As an Applied AI Engineer, you will design and ship agentic tools, automate tool creation, and compose workflows. Responsibilities include running model-aware experiments and bringing rigorous applied ML practices to tool design.

Lead the design and development of AI/ML-powered prototypes for space and missile defense, mentor junior engineers, and engage with stakeholders for innovative solutions.

As a Senior AI Engineer, you will design and develop AI/ML prototypes, lead technical solutions, mentor junior engineers, and engage with clients to ensure project alignment. You'll also track project milestones and contribute to proposal writing and thought leadership.