Top Artificial Intelligence Jobs

This role leads delivery coordination and portfolio operations for MetLife's Composite AI team, ensuring commitments, managing risks, and developing teams across multiple platforms.

The Director will drive MetLife's Composite AI strategy, managing product outcomes and coordinating cross-functional teams to deliver scalable AI solutions and governance.

As a Security Architect, you will build secure agent runtimes and systems, ensuring robust security capabilities in agentic AI solutions while conducting security evaluations.

The Lead Software Engineer will develop Generative AI solutions, manage CI/CD pipelines, deploy on AWS, collaborate with data scientists, and enhance AI capabilities.

The Senior Director will lead Cloud AI Platform Solutions, managing customer engagement, platform readiness, team leadership, and cross-functional alignment to drive successful server-class SoC platform deployments.

As a Staff Applied AI Scientist, you will design and deploy AI systems using LLMs, improve agent performance, and collaborate with engineering to enhance systems for customer impact.

As a Principal Scientist, you will lead predictive modeling and applied AI efforts to enhance cancer care. Responsibilities include design, development, and validation of advanced modeling solutions, client engagement, training, and representing the organization at scientific forums.

Lead the design and validation of predictive modeling solutions in oncology, engage with clients, and translate complex methodologies into actionable insights for stakeholders.

The Lead Product Marketing Manager, AI will lead the market strategy for GitLab's AI capabilities, focusing on product positioning, go-to-market execution, and supporting AI tool adoption across the software development lifecycle.

The Principal AI Compiler Engineer designs hardware for AI, ensuring models translate effectively to silicon and perform optimally in 5G applications.

As a Senior AI Compiler Engineer, you'll design and implement MLIR-based compilers for 5G/6G silicon, ensuring high precision in hardware-specific IR generation and memory management with a focus on advanced compiler techniques.

Lead multiple engineering and applied science teams to define technical vision, ship end-to-end AI/ML products, and ensure operational excellence. Drive model training, data pipelines, evaluation, deployment, and production operations while partnering with Product, hiring and developing talent, and building quality and evaluation practices for AI systems.

Define and drive the strategy, roadmap, and execution for AI-powered products at Airwallex, focusing on fintech and global financial operations.

As a Senior Software Engineer, you will design and implement AI agents to automate DevOps and DBA workflows, ensuring agents operate safely and effectively in real infrastructure environments.

Lead technical direction for AI Receptionist platform, oversee engineering quality, collaborate with executives, and mentor future hires.

As an AI Engineer, you will develop and optimize AI systems for legal tasks, work on integrating models, and establish evaluation frameworks to enhance decision-making capabilities in complex legal workflows.

Design, train, optimize, and deploy efficient on-device ML models (audio and vision) for resource-constrained products; maintain Ambiq ADKs; port and optimize customer models; apply model-efficiency techniques; produce customer-facing demos, docs, and benchmarks.

Lead the AI/ML Engineering team to transform healthcare claims processing, driving automation and operational intelligence across claims systems.

Lead product strategy and execution: discover customer needs, define requirements and prototypes, prioritize roadmaps, work with engineering to deliver features, drive launches and go-to-market, and evangelize products while soliciting customer feedback to improve experience and growth.

The Developer Relations Community Manager will engage AI developers, create technical content, manage community operations, and drive advocacy and adoption for Runpod's AI infrastructure platform.

Lead design and implementation of enterprise-scale generative and agentic AI architectures. Define foundation model strategies, orchestrate RAG and agentic workflows, build cloud-native MLOps and scalable infrastructure, integrate AI with enterprise systems, mentor teams, and ensure security, compliance, and operational readiness.

Design, develop, and deploy generative AI solutions and autonomous agents using foundation models. Build Python full-stack services, scalable REST APIs, cloud deployments, and apply LLMOps/MLOps and RAG/knowledge-graph techniques. Mentor teams and drive production ML lifecycle and monitoring.

The AI Data Scientist Sr designs and implements AI/ML solutions, collaborates with stakeholders, processes complex datasets, and optimizes business outcomes through data-driven analytics.

The Senior Manager will drive innovative product solutions in the Commercial Card and AI Decisioning space, lead teams, and impact customer experiences.

Lead a team of developers in creating cloud-based solutions using modern technologies, while mentoring peers and collaborating with product managers.