Top Artificial Intelligence Jobs

The Staff Forward Deployed Engineer will work with AI-Native customers to solve cloud infrastructure challenges, build scalable tools, optimize AI workloads, and influence product development by embedding with clients and establishing best practices.

The role involves designing and operating real-time AI systems for sports analysis, integrating various data signals under tight constraints and mentoring other engineers.

Develop and maintain AI/ML applications, focusing on agent-based workflows, API integration, and enterprise deployment, requiring senior-level experience.

Lead discovery and delivery of AI-first AEC product capabilities. Define roadmap, prototype agentic LLM workflows, translate research into requirements, measure outcomes, and partner with UX, Engineering, and GTM to drive adoption and growth.

The AI/ML Engineer will develop and maintain AI/ML applications, design workflows, optimize performance, and manage data processing with a focus on LLM integration and retrieval-based capabilities.

The Staff Applied AI Engineer will develop decision intelligence systems using machine learning and optimization, focusing on improving planning decisions and operational efficiency. Responsibilities include building models for revenue attribution, designing decision-support systems, and ensuring security in AI-driven capabilities.

Lead development of AI and ML solutions for healthcare systems, overseeing teams, driving use case development, and ensuring operational excellence while managing global delivery operations.

Design and implement AI-native software development lifecycle standards. Lead organizational adoption and integration with enterprise architecture in a regulatory environment.

Lead the development of AI-driven test automation frameworks for cloud-native systems, focusing on quality engineering and mentoring.

Lead distributed engineering teams to build and operate real-time data serving, LLM orchestration, and ML pipeline infrastructure powering low-latency, personalized connected-home experiences. Own delivery, reliability, observability, drift detection, and model rollout; manage sprint cadence, hiring, and technical coaching while coordinating with product, architecture, AI/ML ops, and video intelligence teams.

Design and implement scalable, low-latency AI security infrastructure and high-performance networking code in Rust. Collaborate with product and cross-functional teams, debug complex network/system issues, and deliver secure, testable solutions for large-scale cloud security platform.

Lead product vision, strategy, and execution for Realtor.com's Enterprise AI portfolio across LLM platform, developer tooling, agentic solutions, and enablement. Drive prioritization, VOC discovery, OKR-based measurement, vendor relationships, cross-functional delivery, and executive storytelling. Mentor PMs, grow the AI community, and ensure scalable, governed AI adoption across engineering and business users to deliver measurable business impact.

Lead design and delivery of enterprise-scale generative AI and agentic systems. Define architecture, integrate foundation models, establish cloud-native infrastructure and MLOps pipelines, orchestrate workflows, mentor teams, and drive production-grade AI deployments aligned to business goals.

Lead design and delivery of enterprise-scale generative AI and agentic systems: define architecture, integrate foundation models, build cloud-native infrastructure and MLOps pipelines, orchestrate workflows and integrations, mentor teams, and guide solutions from concept to production.

Lead design and delivery of enterprise-scale generative AI and agentic systems. Define architecture, integrate foundation models, build cloud-native infrastructure and MLOps pipelines, implement orchestration and monitoring, and mentor teams to productionize secure, scalable AI solutions aligned with business goals.

Lead Legora's cloud and AI partner strategy and relationships, build and run co-sell motions, manage marketplace presence, develop joint GTM plans, drive partner-sourced pipeline into sales, and feed partner insights into Product and GTM.

Design, implement, and optimize classical and deep-learning computer vision algorithms for ADAS. Tasks include object detection, segmentation, tracking, image enhancement, dataset analysis, model optimization for real-time embedded ECUs, bench testing, root-cause analysis, documentation, and cross-functional integration for serial automotive production.

Manage and enable the firm's core AI legal applications: triage attorney inquiries, coordinate vendors and stakeholders, oversee rollouts and integrations, track adoption and value, maintain governance, documentation, and training to drive responsible AI use.

The Senior Engineer will architect self-healing infrastructure, design AI orchestration workflows, automate incident resolution, and establish AI best practices, focusing on Generative AI and observability.

Research intern to design, implement, and evaluate task and motion planning and AI algorithms for articulated manipulation. Develop and test deep learning/Gen-AI models, create case studies, implement software, define evaluation criteria, and present technical results under mentorship.

Lead AI-driven enterprise platform product strategy and execution. Own roadmaps, drive cross-functional alignment across distributed engineering teams, build AI/chatbot and automation solutions, enable data-driven insights, and ensure scalable, compliant product delivery and adoption.

The Senior Expert in Tech & Innovation will oversee thought leadership research programmes, lead teams, manage client relationships, and ensure high-quality content production on technology issues.

Lead Client Technology Services including help desk, endpoint support, eStout laptop program, ITSM governance, and staff supervision. Drive ITSM platform strategy, service catalog, knowledge base, vendor and project management, and apply AI-enabled tools to improve service delivery.

The Head of Application Development leads software engineering and application development across all business areas. Responsibilities include strategic planning, team development, performance management, ensuring delivery of quality software, and managing relationships with stakeholders and vendors.

The Associate Product Counsel will provide legal guidance on B2B AI systems, ensuring compliance with regulations, and collaborating with Product, Engineering, and Marketing teams to enhance product offerings.