Top Artificial Intelligence Jobs

Advise Sales and go-to-market teams on complex enterprise SaaS negotiations, build scalable contracting systems, and develop templates, playbooks, and processes. Guide privacy and data protection in customer relationships while helping establish the legal function at a rapidly growing AI company.

Own product positioning and go-to-market strategy for YipitData’s AI and big data products serving public investors. Define customer segments and messaging, lead product launches, conduct competitive intelligence, support pricing and packaging, and create sales enablement materials. Partner with Product, Revenue, and Insights teams to shape the roadmap and drive adoption. Establish GTM success metrics, monitor performance, and improve strategies across data feeds, software, and AI-powered investor solutions.

Own the evaluation, selection, optimization, and production deployment of large language models powering legal and medical document workflows. Build EvalOps and monitoring frameworks, benchmark model quality, cost, speed, and resilience, manage model transitions, optimize RAG and orchestration pipelines, and reduce hallucinations. Partner with product and go-to-market stakeholders while independently implementing changes across staging and production.

Serve as Monk’s first Sales Engineer, partnering with enterprise finance customers to assess technical fit, design AR workflow solutions, build tailored proofs of concept, and implement integrations. Prototype and ship agentic AI and financial products while translating customer pain points into scalable technical solutions. The role requires deep full-stack TypeScript development, modern web infrastructure expertise, strong product judgment, customer empathy, and autonomous ownership in an in-person NYC environment.

Own the strategy, roadmap, and lifecycle of AI-powered creative products for ID Lab and Studios. Build internal production tools and self-serve marketing products for agents, integrating generative AI across text, image, video, and audio. Partner with creative, engineering, design, legal, and brokerage teams to define quality standards, prioritize initiatives, launch products, measure adoption and impact, and scale creative workflows.

Develops and deploys AI/ML applications for autonomy, pattern recognition, target detection, decision support, signals processing, and robotics. Responsibilities include creating mathematical and statistical models, processing heterogeneous datasets, training and fine-tuning machine learning systems, modifying deep learning architectures, evaluating performance, and presenting technical results. The role also involves rapid prototyping, production deployment, cross-functional collaboration, and work involving LLMs, NLP, computer vision, sensor fusion, and explainable AI.

Supports AI-related marketing projects by coordinating operational tasks, collecting assets and approvals, maintaining trackers and workflow documentation, monitoring timelines, routing review materials, and tracking vendor deliverables. The role identifies gaps, organizes project files, follows up with cross-functional stakeholders, and provides project support across multiple AI initiatives. It requires strong organization, communication, attention to detail, and at least three years of relevant marketing operations, creative operations, production, or project coordination experience.

Develop and execute global procurement and supply chain strategies; manage strategic suppliers, contracts, negotiations, costs, tariffs, freight, sustainability, inventory reporting, and supply chain risk. Lead supplier performance and corrective actions, guide purchasing teams, improve real-time supply chain visibility, support Business Central data optimization, and partner with IT on AI-enabled decision-making. The role also manages travel-related contracts and presents spending and operational metrics.

Manage NVIDIA’s global Lenovo OEM account and drive adoption and integration of NVIDIA accelerated computing platforms. Develop technical expertise across AI hardware, networking, software, and reference architectures; identify solution opportunities; package NVIDIA technologies into Lenovo offerings; and develop co-marketing and co-selling strategies. Coordinate product, engineering, supply planning, pricing, quality, and go-to-market teams while building relationships with senior stakeholders and supporting cloud and enterprise sales channels.

Build and own AI-powered product features end to end in a Seed-stage startup. Translate product needs into scalable solutions, prototype rapidly, integrate evolving AI models and frameworks, and maintain production quality. Contribute across frontend, backend, and infrastructure while shaping technical direction through hands-on engineering rather than people management. The role requires strong ownership, customer focus, communication, and comfort with ambiguity.

Develop US healthcare product positioning, messaging, value propositions, sales collateral, content, campaigns, and enablement tools for AI-driven medical imaging products. Partner with Product, Sales, Clinical, Regulatory, Legal, Brand, and Customer Success teams on launches, market research, competitive intelligence, conferences, KOL engagement, and field marketing. Manage cross-functional projects independently across a globally distributed organization.

Develop and execute go-to-market strategy for AI products: define positioning and messaging, conduct market and competitive analysis, enable sales, coordinate launches, gather customer insights, and measure product performance.

Sources and evaluates technology and AI startup investments through technical, commercial, financial, and competitive due diligence. Develops investment recommendations, executes and structures deals, monitors portfolio companies, and provides strategic guidance. Builds relationships with founders, experts, and co-investors while tracking emerging technology and market trends.

This role involves designing and building next-gen payments platforms using blockchain and AI technologies, focusing on payment modernization, security, and regulatory compliance.

Develop and expand software products and platforms across backend, frontend, cloud, AI, and machine learning systems. Build efficient, reliable, and testable code; collaborate with business partners to launch features; influence product and engineering decisions; mentor team members; and help shape team culture and product vision in an agile environment.

Build production-quality AI applications using Python and existing large language models. Design multi-agent and multi-step workflows with prompt chaining, tool use, and orchestration; engineer and evaluate prompts; integrate AI into RESTful APIs and microservices; and deploy solutions on AWS. Preferred work includes RAG pipelines, vector databases, observability, exploratory data analysis, and MLOps/LLMOps practices.

Develop and maintain the U.S. Census Bureau’s LLM Autocoder using Python, LLMs, prompt engineering, text classification, structured outputs, and testing. Build survey-specific pilots, troubleshoot production issues, evaluate model changes, and collaborate with data scientists and MLOps engineers on AWS deployment, rollback, and verification. Maintain documentation and support government handoff while meeting Census security and operational requirements.

Leads AI engineering strategy and a high-performing team developing scalable, secure, and responsible AI solutions. Drives LLM-powered decision automation, fraud detection, process optimization, model evaluation, monitoring, governance, A/B testing, backtesting, and drift detection. Partners with product, UX, and engineering stakeholders to translate business priorities into AI roadmaps and production capabilities. The role requires extensive software, machine learning, or data engineering experience and strong technical leadership.

Leads full-cycle executive searches for VP-level and above talent. Partners with CEOs and senior leaders to define talent needs, develop search strategies, conduct market mapping, source passive candidates, assess leadership capabilities, and manage candidates through closing. Builds executive talent pipelines, provides market intelligence, and handles confidential searches across diverse industries and functions while managing shifting priorities independently.

Build and maintain responsive WordPress websites, landing pages, reusable templates, and digital lead-generation experiences. Use AI-assisted development tools to accelerate coding, publishing, testing, and troubleshooting while reviewing code for quality and security. Implement technical SEO, analytics, conversion tracking, integrations, performance improvements, and QA. Manage themes, plugins, staging, deployment, backups, and website security while supporting scalable publishing workflows and collaborating with marketing and business teams.

Design and develop next-generation scale-up networking fabrics for AI data centers. Lead collaborative development across hardware, software, and applications to improve scalability, reliability, and robustness for large-model training. Create innovative concepts through production implementation, collaborate with cross-functional teams, and lead complex projects delivering large-scale networking and AI solutions.

Leads the Data & AI engineering portfolio for Global Trade and Working Capital Solutions. Defines technology strategy and architecture, oversees scalable cloud data infrastructure, and manages multiple engineering teams. Drives data engineering best practices, governance, security, quality, CI/CD, observability, and regulatory controls. Partners with business, product, analytics, and data science leaders to deliver data, AI, transaction-processing, and streaming solutions while managing budgets, risk, disaster recovery, and strategic technology roadmaps.

Build and harden Nava’s shared AI platform for LLM-based products. Responsibilities include reusable context and agent-state management, safe long-running agent execution, sandbox integration, model routing, subagent orchestration, token-cost optimization, tracing, evaluation, testing, and documentation. The role partners with product teams to create maintainable infrastructure that supports production AI features at scale.

Own end-to-end architecture and system design for an enterprise GenAI platform and shared AI services. Define reference architectures, integration contracts, standards, and non-functional requirements across AI systems. Design secure, resilient, scalable cloud solutions involving RAG, model serving, APIs, orchestration, and agentic workflows. Lead architecture reviews, proof-of-concept evaluations, governance alignment, and production-readiness planning while collaborating with product, engineering, data science, cloud, security, and control teams.

Summer 2027 internships provide hands-on experience across data analytics, business intelligence, data engineering, data science, machine learning, AI, and data platforms. Interns may analyze and prepare data, develop dashboards and pipelines, improve data quality and governance, support predictive models, and apply AI to business problems. Assignments are onsite in Winston-Salem, North Carolina, with technologies and responsibilities determined by business needs.