Top Artificial Intelligence Jobs

Lead Oyster's data platform and AI strategy, centralize AI initiatives into production systems, build scalable data and MLOps infrastructure, modernize knowledge architecture and semantic search, partner cross-functionally to embed AI into products and workflows, enforce tooling standards and governance, and drive organizational adoption and change management for AI-assisted operations.

Design, develop, and deploy autonomous AI agents and intelligent systems for cloud-native, n-tier architectures. Partner with business stakeholders to create agent-driven workflows, drive agent orchestration and prompt engineering, implement CI/CD and automated testing, manage technical debt, and scale responsible AI solutions across the enterprise.

Lead full-cycle enterprise sales to exceed a $3-5M annual quota by acquiring new clients and expanding existing accounts. Position end-to-end AI and transformation solutions, convert engagements into managed services, build CxO relationships, drive strategic account plans, and collaborate cross-functionally to maintain pipeline integrity and deliver measurable business outcomes.

Lead ML/AI analytics across STARZ telemetry and operational data to detect anomalies, forecast trends, and surface actionable signals. Build repeatable signals frameworks, apply anomaly detection/classification/clustering/time-series models, leverage generative AI/LLMs for summarization and RCA, define alerting and escalation, partner with engineering and product, and mentor junior analysts.

Sell Elsevier's ClinicalKey clinical search engine to hospitals, health systems, medical schools, and home health providers. Prospect, build account plans, demo remotely, manage CRM data, forecast pipeline, collaborate with internal teams, and meet/exceed quota with up to 40% travel.

Lead design and delivery of AI/ML solutions for Investment Banking (ECM, DCM, M&A). Provide technical leadership, client engagement, data and model engineering oversight, scalable architecture, deployment and monitoring, and drive AI-first adoption across the SDLC while ensuring security and regulatory compliance.

Design and productionize ML models and agentic systems for intraday financial alpha generation. Build data pipelines, experiment frameworks, and portfolio optimization methods. Collaborate with quants and engineers to move models from research to live trading environments.

Lead design and build of an end-to-end AI contract-review agent: prompt orchestration, RAG pipelines, fine-tuning, web UI and tooling, data/model infra, deployment (CI/CD/cloud), and product-driven features like assumption mapping and contract diagnostics.

Build and operate production private AI platform capabilities (agentic/multi-agent systems, orchestration, auto fine-tuning, runtime/model optimization). Implement evaluation, monitoring, safety/rollback controls, developer-facing APIs, and tooling. Partner with data and infra teams to ensure reliable, performant AI inference in constrained edge environments.

Design, implement, and train state-of-the-art 3D reconstruction and egocentric optical flow models from scratch. Scale multi-view architectures across multi-GPU clusters, innovate losses/architectures, prototype perception solutions, integrate neural rendering (NeRF, Gaussian Splatting), and produce motion-aware outputs for downstream robotics.

Design and build AI orchestration architecture using Claude Code; create reusable orchestration patterns (skills, subagents, tools, hooks); optimize for latency, error handling, observability, and testing; run experiments, document learnings, and deliver production orchestrators that accelerate platform development.

Lead martech and agentic AI systems for marketing: define production-ready agents, build and manage the team, deliver AI-driven workflows for lead scoring, enrichment, prospection, orchestration and attribution, cut tool cost, own vendor decisions and observability, and report measurable pipeline and revenue impact to exec and board.

Lead development, deployment, and continuous improvement of advanced forecasting and predictive models (statistical, ML, AI) for commercial demand. Collaborate cross-functionally, communicate insights to stakeholders, validate models, monitor performance, and mentor junior team members while driving best practices and innovation.

Design and build AI-native, high-performance CI/build/test/validation infrastructure for large Tegra C/C++ codebases. Optimize build graphs, caching, incremental builds, remote execution, device-lab testing, and integrate reasoning agents for autonomous triage, remediation, and self-healing workflows. Package reusable platform capabilities, drive adoption, and measure developer feedback loop improvements.

Build RoboForce's internal AI-native OS: design, prototype, and productionize agents, automations, workflows, and templates. Identify high-leverage AI opportunities, drive cross-functional adoption, define usage and security standards, partner on infrastructure, and act as technical chief-of-staff. On-site five days weekly.

Lead design and build of an AI-native lifecycle and CRM engine for patient activation, retention, renewals, reactivation, and winback. Map patient journeys, build event-triggered flows across email/SMS/push/in-app, partner with engineering/data/clinical teams to instrument events, create AI-assisted messaging within compliance guardrails, run experiments and reporting, and improve retention, conversion, and patient satisfaction.

Serve as a post-sale technical lead embedding with customers to design, prototype, and deploy production-grade Generative AI solutions using ChatGPT and OpenAI APIs. Advise on roadmaps, infrastructure, scaling best practices, and stakeholder alignment while contributing documentation, open-source resources, and cross-functional product feedback.

Work with customers to configure and maintain Cresta's Opera platform, identify key moments using keyword/utterance rules, monitor voice analytics trends, produce insight reports, respond to ad hoc analysis requests, and mentor customer analysts to maximize product value.

Build tools, systems, and processes that enhance developer productivity at Retool, including build systems, release pipelines, and testing frameworks.

Embed with enterprise clients to design, build and operationalize agentic AI solutions in production: scope use cases, design architectures, write production-grade code, build retrieval pipelines, agent orchestration, evaluation suites, observability, and integrate with enterprise systems while handing over to support and abstracting reusable patterns.

Embed with enterprise clients to design, build, and operationalize agentic AI solutions in production. Lead discovery, architecture, production-grade coding, retrieval pipelines, agent orchestration, governance, evaluation suites, observability, and secure integrations. Drive cutover, handover to support, escalation, and produce reusable patterns and accelerators.

Lead the design and deployment of intelligent agent systems, working with customers to tailor workflows and integrate APIs, ensuring scalability and performance.

Embed with business teams to design and build AI-powered tools, automations, and workflows; coach and enable staff; create reusable solutions, documentation, adoption metrics, and governance; mentor junior members and translate AI developments into practical enterprise applications.

Execute daily dispatch operations: assign loads, communicate with drivers, handle exceptions, and track KPIs. Use AI tools to research, troubleshoot, draft, analyze, and automate workflows. Improve and document playbooks, escalate judiciously, and partner with engineering/product to automate recurring manual work.

Design and build scalable training and learning platforms for physical AI: representation learning, latent world models, policy/action pipelines, generative simulators, and multimodal reasoning. Lead cross-team technical decisions, productionize research prototypes, and contribute to open research and OSS.