Top Artificial Intelligence Jobs

The Lead Infrastructure and Reliability Engineer will enhance GPU operations, define scalability strategies, and develop organizational strengths in a high-demand AI infrastructure setting.

The Head of AI + Tech Solution Consulting oversees a team of consultants, manages client accounts, drives strategy, and ensures successful product adoption and integration across the organization.

The AI Deployment Specialist will enhance AI agent utilization for finance teams by solving technical issues, optimizing product experiences, and collaborating closely with clients and engineering teams.

The research engineer will build and enhance Sapien's AI systems for finance, focusing on agent architecture, data parsing, and performance benchmarking, while developing new intelligent solutions for complex financial workflows.

As a Staff Engineer, you'll build an AI-driven food agent, defining technical strategy, architecting infrastructure, and driving high-complexity work from design to production.

As an Applied AI Engineer, you'll develop AI-first software for enterprise clients, contributing to a rapidly growing startup with a strong engineering team.

Pre-sales architect role focused on technical partnerships with GSIs and cloud providers. Embed with partner technical teams, develop joint GenAI solutions and reference architectures, support strategic customer deals, represent Anthropic at partner events, run developer enablement and hackathons, and collect product feedback to inform roadmap and partner strategy.

This role involves owning aspects of data lifecycle for Auger's Supply Chain operating system, including schema design and data processing using AI and SQL.

Own AI Edge content production and strategy: write long-form educational posts, curate a bi-weekly newsletter, repurpose workshops into multi-channel content, coordinate creators, partner with SEO and paid teams, and ensure evergreen content positions the brand as an AI and tech authority.

The AI Product Engineer will build AI-driven software features, enhance performance, and develop intelligent UIs, working across product and infrastructure layers.

As a Software Engineer intern, you'll work on AI-driven projects spanning data management, onboard systems, ML infrastructure, simulations, and technical infrastructure, collaborating with experts in various fields.

The Senior Product Manager will oversee AI workflow development, drive product strategy, collaborate with engineering, and translate customer insights into actionable features.

Looking for new graduate software engineers to work in areas like Data Platform, Onboard Systems, or Technical Infrastructure focusing on AI and autonomy technologies.

Design, build, and tune hybrid retrieval and RAG systems combining Elasticsearch, vector/embedding search, and re-ranking models. Improve relevance using query analytics, behavioral signals, experimentation, and evaluation metrics to enhance search quality and Generative AI responses. Collaborate with AI engineers, platform teams, and product stakeholders.

Lead architecture and technical strategy for an off-platform AI tier and agent stack. Design and build MCP server, internal PM and Execution agents, and an External Onboarding Agent. Implement retrieval, evals, observability, and guardrails. Drive design-partner engagements, set engineering standards, and mentor engineers to productionize LLM/agent systems.

The AI Engineer will develop, evaluate, and improve LLM-powered features from prototypes to production, ensuring quality and effectiveness for user deployment.

The Software Engineer will maintain and evolve the data platform, run LLM ETL pipelines, transform agent outputs, improve system reliability, and support incident response.

As a foundational Software Engineer at Niva, you'll define AI strategy, develop multi-agent AI platforms, and engage with customers to enhance workflows.

Lead technical vision and roadmap for Pinterest's AI Platform. Architect petabyte-scale data orchestration, model training/fine-tuning, and high-performance inference for Generative AI and Recommender Systems. Drive cross-functional initiatives, influence architecture across the company, and cultivate an inclusive engineering culture focused on quality and ownership.

Lead design and delivery of enterprise-scale data ingestion pipelines that prepare structured and unstructured content for RAG/LLM workloads. Define transformation, enrichment, chunking, classification, lineage, governance, security, and operational patterns; partner with platform and RAG engineers; create reusable architectures, standards, and operational observability; mentor engineers and influence cross-team technical strategy.

The Customer AI Analyst will optimize customer accounts for AI success, engage clients with insights, and collaborate on data-driven strategies while managing multiple projects.

As a Founding AI Engineer, you will build core intelligent agent systems, prototype features, collaborate with founders, and engage with customers to enhance workflows and solutions.

Drive business growth by serving as a trusted advisor to enterprise brands, providing technical guidance and strategic insights for AI-driven marketing solutions.

Lead architecture and engineering of production-grade AI systems, including generative AI, RAG, multi-agent workflows, and cloud-native platforms. Define reference architectures, MLOps/LLMOps practices, integrate LLM providers, mentor engineering teams of 15–30, and align AI platform strategy with business objectives while ensuring scalability, security, and responsible AI governance.

Lead client-facing engagements to identify process inefficiencies, design and implement AI and automation solutions on the Microsoft stack, establish AI governance and secure integrations, deliver ROI-focused roadmaps, and drive adoption through workshops, training, and documentation.