Top Artificial Intelligence Jobs

Lead executive communications for the AI Monetization team: craft messaging, develop collateral, advise and coach executives, manage internal/external visibility, handle urgent communications and reputation risk, and apply AI tools to support targeted messaging.

Lead AI transformation engagements using Copilot Studio, Dynamics 365, Power Platform, Dataverse and Azure. Run discovery and design workshops, create scalable secure architectures, rapid prototypes, and align technical solutions with business value while collaborating with sales and stakeholders.

Drive qualification and pipeline growth for cloud, data, and AI solutions in Education. Lead discovery, build business cases, run workshops and demos, coordinate partners, and close deals to accelerate cloud and AI adoption while maintaining pipeline hygiene and customer skilling.

Build and ship AI-native workflows and prototypes for finance/accounting use cases, process large unstructured datasets, iterate with customer feedback, and design analytics-driven evaluation systems to improve product stability and value.

Design, build, and ship technical growth mechanisms (acquisition funnels, onboarding, referrals, activation, monetization). Own acquisition budgets, tracking specs, analytics, and experiments. Rapidly prototype AI-driven growth hypotheses, present business cases and roadmaps, and translate experiment data into clear recommendations to secure executive and partner buy-in.

Operate and improve large-scale HPC GPU clusters for AI model training and inference. Build observability, automation, CI/CD, and incident response tooling; lead on-call rotations, ensure security/compliance, collaborate with ML engineers, and optimize capacity and costs for production ML workloads.

Design, train, and evaluate Responsible AI components: fine-tune LLMs (including RLHF), build adversarial agent evaluations and safety mitigations, collaborate with engineering to deploy mitigations at scale, monitor operational performance, and troubleshoot end-to-end issues.

Lead AI risk assessments, reviews, and monitoring to support AI governance at a financial institution. Evaluate internal and third-party AI solutions, maintain an enterprise AI inventory, analyze controls and risk metrics, build dashboards and reports, and provide quantitative and advisory support across stakeholders to enable responsible AI adoption and regulatory readiness.

Lead marketing AI deployment and measurement: identify and prioritize AI opportunities, manage cross-functional rollouts, build attribution and KPI reporting in Power BI, improve data architecture and quality, run journey and lead-scoring analyses, and shape GTM tools and processes to optimize pipeline and revenue.

Own and operate the realtime voice stack and call-data platform end-to-end: telephony/WebRTC integration, streaming STT/TTS, realtime voice agents, call-to-transcript pipelines, data warehousing, analytics, and dashboards. Build AI-native workflows, RAG/search, human-in-the-loop flows, and optimize performance, latency, and cost. Mentor teammates and collaborate across product and subject-matter experts.

Build and maintain full-stack product and AI systems: React/React Native frontends, Node.js services, LLM-powered features (agents, RAG), integrations, monitoring, and scalable automation. Ship production features, ensure reliability, and mentor teammates.

The Senior Staff Engineer will lead the development of an underwriting platform, enhance AI integration, mentor junior engineers, and collaborate with teams to transform GEICO's underwriting processes through tech innovations.

Design, build, and maintain production-grade conversational AI platform features and backend services. Deliver event-driven integrations, ensure reliability and security, optimize databases, support production incidents, improve observability, and mentor engineers while collaborating with product, QA, and design.

Designs, builds, and supports Power Platform and AI solutions (Power Apps, Power Pages, Power Automate, Copilot) and Power BI reports. Connects and transforms data from CRM/ERP/PSA systems, implements security and governance, troubleshoots performance and refresh issues, and supports testing, training, and documentation for client and managed-service engagements.

Design, build, and sustain AI analytics stack components including web frontends, FastAPI services, containerized deployments, and data layers. Integrate LLM capabilities (prompting, tool-calling, RAG), establish CI/CD pipelines, work with PostgreSQL/MySQL, and collaborate cross-functionally to deliver secure, maintainable AI-enabled software solutions.

Design and implement an MLIR-based AI compiler for GPU inference: develop graph representations and dialects, optimize performance and memory, define APIs, generate kernels, and collaborate with framework and hardware teams to enable new model patterns and GPU features.

Lead strategic engagement with AI platform and tools ecosystem, enhance partner product direction, technical onboarding, and ecosystem growth with NVIDIA's technology.

Develop and support Rescale's HPC platform, integrate AI into CAE workflows, solve customer HPC/AI problems, build AI software, collaborate with engineering teams, and engage directly with customers.

Lead design and delivery of Ripple's AI platform (GSmart). Own roadmap, enable product teams, operate production AI systems, hire and mentor engineers, contribute to architecture and full-stack code.

Lead integration of AI/ML (LLMs, RAG, generative workflows) into a cloud-native full‑stack platform. Architect serverless backends, optimize data pipelines, modernize legacy PHP APIs, maintain CI/CD, mentor engineers, and support secure, defense-constrained deployments.

Lead strategy and execution of AI, Generative AI, and data science solutions across R&D. Build and mentor a team, architect scalable regulated AI/ML systems (including LLMs and RWD workflows), ensure governance and compliance (GxP/HIPAA), and partner cross-functionally to deliver production AI capabilities across clinical development, pharmacovigilance, and other R&D functions.

Lead AI solution strategy, discovery, and design for client engagements. Qualify use cases, assess data readiness, build prototypes, develop business cases, support proposals, and ensure delivery handoff while partnering with cross-functional teams to drive account growth.

Lead UX Operations for AI Enablement by defining frameworks, workflows, and governance to design, test, and scale AI-enabled and agentic experiences. Run pilot programs, measure adoption, partner with L&D to deliver training, and translate learnings into playbooks and operating models that ensure human-agent collaboration, accessibility, ethics, and quality across product development.

Lead strategy and implementation of an advanced Quality Management system, AI-driven design tools, and Lean engineering across Heavy‑Duty New Unit teams. Drive KPIs, reduce rework and cycle time, mentor a medium team, champion cultural/process change, and transition engineering workflows to agile, data-driven execution.

Lead product strategy and roadmap for AI Ready Data capabilities—data ingestion, transformation, enrichment, synthetic data, and tooling for retrieval, fine-tuning, evaluation, and agent workflows. Write product specs, partner with engineering, research, design, and GTM, translate experiments into scalable features, work with customers to surface requirements, and define success metrics to monitor adoption and performance.