Top Artificial Intelligence Jobs

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.

As an AI Product Engineer, you will develop innovative LLM-powered solutions, enhance AI systems, and collaborate with cross-functional teams to improve customer experiences.

Manage and optimize digital advertising campaigns across SEM, Paid Social, Display, and YouTube as primary client contact. Drive performance, present data-driven recommendations, coordinate with sales, ad ops, and creative teams, and grow/retain accounts using AI-driven and native publisher platforms.

Lead and grow a pod of Product Managers while personally owning the AI OS orchestration layer. Drive architecture for state management, tenant routing, SDKs, model routing and cost/compute strategy. Define evaluation, trust, and security standards, modernize developer experience, and partner with leadership to turn AI strategy into scalable platform operations.

The AI Solutions Consultant will assist customers in utilizing Cassidy's no-code AI platform, troubleshoot workflows, and influence product development while collaborating with various teams.

Lead business-facing data architecture for Rabobank ANZ, developing a Regional Data Architecture Blueprint, business object models, ontologies, and logical data models. Translate strategic priorities into data & AI requirements, align models with enterprise architecture, mentor stakeholders, and embed data-by-design practices to support data products, analytics and responsible AI adoption.

The Frontend Engineer will lead the development of a web application, focusing on architecture, feature development, and testing, while collaborating with other teams and optimizing performance.

The Senior Flutter Engineer will own the mobile platform, focusing on audio recording, offline capabilities, cross-platform stability, and CI/CD pipeline maintenance, while mentoring junior engineers.

Design and implement scalable AWS cloud architectures integrating data engineering and AI/ML (including Generative AI). Lead app and data modernization, migrations, presales architecture, governance and security, client-facing technical guidance, and handoffs to delivery teams.

Lead the development of AI/ML deployment infrastructure, collaborate with engineers, develop pipelines, manage teams, and enhance data applications.

The Technical Account Manager ensures enterprise customer success with Prime Intellect's AI infrastructure, managing relationships and driving technical and business outcomes through collaboration with customer teams.

The Senior AI Engineer will develop AI-driven solutions using LLMs, focusing on prompt engineering, integration, research, and data utilization for payment systems.

Architect and ship production AI agent systems and modeling infrastructure for regulated finance. Build Python/FastAPI tooling, distributed event-driven backends, validation/evaluation pipelines, and compliance/auditability features. Influence system architecture, mentor engineers, and ensure reliable, explainable AI outputs in production.

Develop AI/ML models for 3D simulation and geology prediction, refine data pipelines, and integrate deep learning tech with product backend.

Lead the CRM AI team to drive technical direction and execute the roadmap for an AI-powered CRM platform, focusing on architecture, operational excellence, and cross-functional collaboration.

Design and implement scalable AWS cloud architectures integrating data engineering and AI/ML (generative AI) for modernization and migration projects. Lead presales, client architecture sessions, governance and security, and ensure handoff to delivery teams while staying current on AWS AI and data services.

The Applied AI Engineer will enhance generative AI capabilities through model development, integration, deployment, and collaboration with teams to create AI-driven products.