Top Artificial Intelligence Jobs

The role involves designing, building, and scaling AI systems and infrastructure, implementing ML orchestration workflows, and managing production operations for AI services.

As an AI Success Manager, you'll partner with Fortune 500 customers to drive AI adoption, measure impacts, and consult on organizational changes. You'll balance strategy and execution, guide product usage, and manage account health across multiple stakeholders.

As an Enterprise Customer Success Manager, you will enhance relationships with high-value clients, drive product adoption, and aid in customer satisfaction while managing a pipeline of projects to achieve performance goals.

Manage strategic customer relationships for AI platform, support onboarding and deployment, facilitate communication between stakeholders, and monitor account health.

Drive go-to-market strategy for AI products, conduct market research, develop product messaging and positioning, and enable sales teams for success.

The role involves managing the ML lifecycle, developing scalable ML systems, and collaborating on AI-first product solutions focusing on Large Quantitative Models.

The AI Optimization Engineer will apply advanced optimization and AI techniques to decision systems, collaborate with experts, and present findings clearly.

The Senior Manager of AI Innovation leads AI/ML research for robotics, driving innovation projects and managing a team. Responsibilities include overseeing project lifecycles and ensuring successful AI technology deployment across robotic systems.

Develop, test, debug, and maintain microservice-based applications; implement features and integrations using Java, Spring Boot, TypeScript/React, Node.js and AWS; participate in incident resolution, impact analysis, and team delivery practices; document work, monitor system health, and continuously expand technical skills.

Design and build an AI-driven account management and optimization platform using LLMs and agentic systems. Create diagnosis and recommendation models, ensure reliable long-running services with observability and safeguards, and collaborate with ad delivery and product teams to improve advertiser performance and revenue.

The Manager in AI Transformation will redesign workflows, embed AI, support transformation initiatives, and build prototypes for efficiency and quality improvement at Kroll.

The Senior Engineer role involves full-stack development, integrating AI services, and optimizing workflows with AI tools to enhance UX and testing.

The Lead Engineer will manage AI-enabled internal product development, focusing on full-stack system ownership, agentic coding, and collaboration with cross-functional teams.

Lead architecture, design, development, deployment, and optimization of an agentic AI platform. Partner with product, data, security, and business teams to productionize AI solutions, establish engineering best practices, mentor teams, and drive reusable AI services, automation, and operational improvements to deliver business impact.

As an Applied AI Engineer, you'll develop and deploy AI solutions, collaborate with customers, and optimize production systems using Python and SQL. Your role involves driving customer impact through innovative AI technologies.

Lead product direction for GenAI-powered migration features, balance technical constraints, drive MVP execution with engineering, track metrics to reduce customer migration time, support GTM and enablement, and mentor PMs while collaborating across functions.

Design and research agentic AI and reinforcement learning systems: build auto-research and coding agents, develop recursive self-improvement and multi-agent frameworks, run RL experiments (RLHF, DPO, PPO), curate training data pipelines, and publish results at top ML venues.

Lead enterprise AI programs, mentor engineers, define quality metrics, and deliver scalable AI solutions while collaborating across teams and advising stakeholders.

Design and build backend systems for Observe's AI product, manage services from end-to-end, and collaborate with product managers and AI engineers.

The Staff Research Scientist will define research directions in AI and LLMs, develop models and systems for autonomous decision-making, and lead efforts to translate research into impactful solutions while mentoring team members.

In this role, you will build high-performance AI orchestration engines, scale context engineering infrastructure, productionize AI workflows, and optimize system performance with a focus on complex backend infrastructure for enterprise AI systems.

Lead presales for Data Analytics/AI solutions, secure technical closes, scope and design solutions with sales and delivery, hit productivity quotas, coach sales associates, manage partner relationships, and drive product growth and customer satisfaction.

The Staff Domain Expert will lead AI initiatives for GTM, translating operational workflows into AI applications while facilitating customer engagements and developing thought leadership.

Operate and maintain AWS cloud infrastructure and Kubernetes (EKS) clusters, troubleshoot production incidents, improve CI/CD and infrastructure-as-code (Terraform/Ansible), participate in on-call rotation, optimize capacity and cost, and integrate AI-driven tools for incident triage, root cause analysis, and automation to improve observability and MTTR.

The AI Strategy Consultant will drive marketing strategy using AI, work with teams to implement solutions, and enhance customer outcomes.