Top Artificial Intelligence Jobs

Lead and hands-on build production-grade agentic AI/ML systems and automation pipelines. Manage engineers, own technical roadmap, design orchestration, implement RAG/vector retrieval, develop predictive models, maintain data engineering and MLOps infrastructure, and engage stakeholders to deliver reliable end-to-end AI solutions.

Lead enterprise AI adoption by identifying high-impact use cases, designing agentic workflows and automation, building an AI enablement team, partnering with business leaders, ensuring governance and measuring ROI to drive productivity and transformation.

The AI Risk Specialist is tasked with managing AI-related risks, implementing risk frameworks, and ensuring regulatory compliance while fostering collaboration among cross-functional teams.

Lead architecture and delivery of LLM-powered data platforms and pipelines: data extraction, transformation, storage, model integration, deployment and evaluation. Drive scalability, reliability, cost-efficiency, engineering standards, and cross-functional collaboration. Mentor engineers, lead architecture reviews, prototype and productionize ML capabilities, and ensure operational maturity (SLOs, observability, on-call). Translate business goals into data products for enterprise customers.

Embed with core operational teams to map workflows and remove manual work by building production AI agents, copilots, and internal tooling. Deploy retrieval, memory, and evaluation systems to improve reliability, automate underwriting and claims workflows, extract structure from messy healthcare documents, and measure operational leverage through faster workflows and reduced manual processes.

Design, build, and ship AI-native features and production LLM agents for healthcare workflows. Improve core AI stack (prompt orchestration, retrieval, evaluations), implement safety/guardrails, and deliver full‑stack solutions touching backend infrastructure and member-facing experiences.

As a Senior AI Engineer, you'll design and deploy AI systems, own AI pipelines, and integrate LLMs into workflows, significantly impacting product direction.

Lead product strategy and roadmap for AI-enabled chatbot and digital employee experiences. Partner with cross-functional teams to define requirements, lead development lifecycle, set OKRs/KPIs, run user research, launch products, and mentor junior product managers to drive adoption and business outcomes.

Lead strategy and hands-on development of AI-driven marketing automation and agentic workflows. Architect and integrate AI agents with MarTech (Salesforce, Marketo, Outreach, ZoomInfo), implement governance and performance metrics, drive adoption, and measure efficiency, cost, quality, and revenue impact.

Lead strategy and delivery for an AI-powered claims decision-support and auto-adjudication platform. Define vision and roadmap, manage a team of product managers, partner with business, engineering, and data science, and drive adoption, impact measurement, and executive-level communication across a complex, matrixed enterprise.

Own and architect the frontend foundation for Handshake AI Enterprise: establish component system, design tokens, engineering patterns, shared libraries, and ship production-grade UIs while collaborating with AI and platform teams to ensure scalable, maintainable, high-performance enterprise deployments.

Lead Legion's organic and AI-search growth across search engines and AI answer surfaces. Own technical SEO, content strategy, AI-assisted workflows, clinician-reviewed medical content, conversion optimization, measurement dashboards, and cross-functional operations to drive booked visits, retention, and revenue.

Lead end-to-end delivery of enterprise AI engagements: run discovery, size value, define features, coordinate cross-functional teams, drive adoption and change management, and own commercial expansion and program outcomes in regulated environments.

Design, build, and deploy ML and statistical models for threat and anomaly detection; engineer security data pipelines; partner with SOC and engineering to embed analytics into controls and incident response; monitor model performance, and communicate findings to technical and non-technical stakeholders.

Compose and edit original scores, themes, and songs for series and films; place and adapt music to picture; collaborate with showrunners, editors, and sound designers; deliver production-ready stems and mixes; iterate quickly using AI music-generation workflows.

Evaluate and optimize NVIDIA AI infrastructure by running multi-node training/inference on large GPU clusters, designing benchmarks, profiling deep-learning workloads, identifying bottlenecks, producing tutorials and whitepapers, analyzing competitors, and presenting demos at major conferences.

As an AI Research Engineer, you'll conduct research in AI and automated reasoning, creating innovative solutions, testing systems, and contributing to scientific publications while collaborating with engineering teams.

The AI Workflow Engineer will design and deliver training, facilitate workshops, redesign workflows, and develop use cases for enterprise clients using AI tools.

As a Senior AI Engineer at Blank Metal, you'll lead the architecture and strategy for AI projects, ensuring system reliability and scalability while mentoring other engineers and translating business needs into technical solutions.

Develop and implement AI features, integrate LLM APIs, collaborate on system design, and mentor junior engineers in a production environment.

The Data & AI Analyst will manage customer data migrations, enhance internal tools, build reporting solutions, and collaborate on data quality with engineering.

The role involves building AI systems for customer support, creating automated insights, and operationalizing AI in workflows while collaborating with engineering and customer solutions teams.

The Commission Sales Representative will close sales for Clovyr AI Cloud, generate leads, book demos, and engage with decision-makers in businesses.

The Founding Staff AI Engineer will design and implement production-grade AI systems focused on document intelligence in the insurance sector, collaborating with co-founders to shape the architecture and roadmap for AI solutions.

Design and operate large-scale GPU infrastructure for distributed AI training, ensuring reliability, performance, and efficient customer partnerships.