Top Artificial Intelligence Jobs

Design and implement low-level, high-performance storage and cloud-scale data infrastructure for ML domains, focusing on OS-level systems programming, performance engineering, data layouts, compression, and orchestration. Work onsite in NYC or London.

Lead product design for a multi-modal AI assistant, create wireframes, prototypes, and micro-interactions, iterate from qualitative and quantitative feedback, and drive product engagement and adoption in a fast-paced, distributed startup.

Hands-on Growth Lead building and scaling enterprise demand generation: own outbound, nurture, events, lifecycle and growth experiments; optimize HubSpot workflows; improve targeting, sequencing and funnel conversion; partner with SDRs and sales to raise lead quality and create repeatable pipeline and reporting.

The VP of Mid-Market Net New Sales will lead a sales team, drive revenue growth, manage relationships with executives, and oversee sales processes to achieve targets.

Own enterprise client engagements end-to-end: onboard customers, map environments, encode policies, design and build AI agents on Titan's platform, lead migrations to minimize disruption, and partner cross-functionally to operationalize repeatable processes and drive customer value.

Manage a portfolio of strategic clients using NPS Prism to deliver CX insights, advise senior stakeholders, drive account growth, support Bain case teams, create thought leadership, and use AI and automation to accelerate insight delivery. Own day-to-day client management, project plans, contracting, demos, and cross-team coordination to ensure clients realize Prism's value and drive CX improvements.

Build production systems that probe and modify LLM internals to improve reliability and enforce deterministic policy. Implement mechanistic-interpretability techniques (activation patching, control vectors), work with weights/activations, build evaluation and deployment loops, and design feature-level intervention systems for enterprise inference.

Architect and build autonomous AI agents for revenue operations: develop agentic systems using LangChain/LlamaIndex, implement RAG and prompt engineering, integrate with Salesforce and cloud services, optimize LLM inference, and add observability and scalable deployments to drive predictive sales and customer success automation.

Lead Higher Education sales by building and closing mid-market and enterprise pipelines. Run consultative discovery, demos, and pilot programs; navigate academic stakeholders; craft institutional narratives about integrity and responsible AI; and partner with product on features and onboarding.

As a founding engineer you will design and build the core platform: event-driven agent framework, shared memory, tool orchestration, APIs, early-intervention systems, and the virtual clinic. Own products end-to-end from customer discovery to production, ship AI/ML solutions, ensure real-time scale and measure impact.