Top Artificial Intelligence Jobs

Review, score, and improve AI-generated responses across diverse topics; evaluate prompts and outputs; perform quality checks on other annotators’ work; provide feedback; and correct responses using natural language. This is a remote, part-time role requiring 20 hours weekly, native-level German, proficient English, reliable technology, and availability for initial training support.

Leads strategic partnerships with consumer health, wearable, longevity, concierge medicine, and physician-network organizations. Owns partnership sourcing, negotiation, lifecycle management, go-to-market strategy, preventive cardiology growth, cash-pay models, competitive positioning, and specialty sales oversight. Builds scalable partnership playbooks, sales capabilities, performance metrics, and commercial tools while coordinating with Legal, Regulatory, Medical Affairs, Marketing, Finance, and Customer Success.

Build and operate governed data pipelines using Microsoft Fabric, Azure, Python, PySpark, Spark, and SQL. Implement Medallion Architecture, ingest data from APIs and enterprise systems, and develop lakehouse and Azure SQL data products supporting analytics and AI. Use Git and CI/CD for deployments, explore AI agentic workloads, and partner with architects and stakeholders to translate requirements into scalable solutions. The role requires local travel, occasional overtime and weekends, and in-person work flexibility.

Define technical vision and architecture for agentic, multi-agent systems that improve autonomous-driving event triage and evaluation. Lead development of scalable frameworks supporting dynamic reasoning, planning, tool use, self-reflection, and orchestration. Identify applications across the Waymo Driver evaluation lifecycle, establish roadmaps, collaborate across teams, and mentor engineers. The role requires extensive software engineering and AI/ML expertise, technical leadership, and experience building complex production systems.

Build scalable analytics, automation, and low-code solutions for international operations. The role combines data science, machine learning, AI-powered analytics, data modeling, workflow automation, predictive analytics, and Power Platform development. Responsibilities include exploring and visualizing data, gathering stakeholder requirements, optimizing workflows, creating user-friendly applications, and communicating technical concepts to diverse audiences. U.S. citizenship and Public Trust determination are required.

Leads and grows IT Services consulting capabilities, advising executives on IT strategy, operations, governance, modernization, resilience, and cost optimization. Oversees complex client engagements, transformation programs, teams, budgets, risks, and delivery quality while managing executive relationships and business development. Develops operating models, roadmaps, assessment frameworks, and thought leadership, and recruits and mentors multidisciplinary teams.

Own regional sales of Butterfly’s point-of-care ultrasound platform to nursing teams, from prospecting through negotiation and close. Build relationships with nurse leaders, clinical educators, and healthcare organizations; deliver product demonstrations; develop clinical champions; manage pipeline and forecasting; and provide market feedback. The role requires active RN credentials, recent bedside or clinical education experience, proven quota-carrying sales success, and up to 75% regional travel.

Own the full enterprise sales cycle for Butterfly’s point-of-care ultrasound platform among nursing teams, from prospecting and pipeline development through demonstrations, negotiations, and closing. Build relationships with nurses, nursing executives, clinical educators, and hospital decision-makers; deliver clinical product demonstrations; meet regional quotas; provide forecasting and market feedback; and represent the company at healthcare conferences. Requires an active RN license, recent clinical experience, proven quota-carrying sales success, and up to 75% regional travel.

Teach investigative journalism and mentor students while serving as lead investigations editor for the Howard Center. Manage complex investigative projects, produce and edit deeply reported journalism, collaborate with newsrooms, and develop reporting using data analysis, computational methods, AI, digital document analysis, visual forensics, and OSINT techniques.

Lead design and delivery of an enterprise Generative AI platform across AWS Bedrock, Azure Foundry/OpenAI, and Databricks. Architect multi-cloud RAG/agent solutions, author IaC and Harness pipelines, enforce governance/FinOps/observability, mentor senior engineers, and enable data scientists and app teams to ship production GenAI at scale in regulated environments.

Lead the architecture and delivery of end-to-end Azure data platforms, including ingestion, transformation, modeling, analytics, activation, APIs, and agentic AI integrations. Build production-grade batch and streaming pipelines using Microsoft Fabric, Azure Databricks, PySpark, Python, and SQL. Establish governance, security, lineage, and performance standards; troubleshoot critical systems; mentor engineers; advise client stakeholders; contribute to presales and reusable engineering frameworks.

Develop and enhance DeepLynx data management, digital twin, AI, and autonomy systems. Design data architectures for AI/ML, build agentic workflows, develop full-stack applications, and implement DevOps practices across cloud and on-premise environments. Responsibilities include software development in C#, Python, and related languages; testing, documentation, simulation integration, technical consultation, and collaboration with scientists and engineers on nuclear energy and critical infrastructure applications.

Leads the architecture and delivery of AI-powered digital customer experience solutions for enterprise clients. Designs Genesys Cloud integrations, digital channels, virtual agents, copilots, knowledge systems, and workflow automation. Acts as the technical authority for complex engagements, leads architecture workshops, advises senior stakeholders, ensures scalability and security, mentors consultants, supports presales, and develops reusable implementation assets and reference architectures.

Leads net-new enterprise business development across the New York Tri-State market. Owns the full sales cycle, including prospecting, executive engagement, solution development, proposals, negotiations, and closing complex workplace, technology, outsourcing, and business-process solutions. Builds self-generated pipelines, develops account-based strategies, navigates enterprise buying committees, and coordinates internal teams on major pursuits. The role requires technology and AI solution fluency, CRM proficiency, and frequent client travel.

Leads global corporate, AI, technology, and internal communications for LexisNexis Legal & Professional. Develops communications strategies, shapes external narratives, manages media relations, supports product launches and executive thought leadership, leads employee communications and town halls, advises senior executives, and handles reputational issues. Uses generative AI and AI-enabled processes to improve research, drafting, editing, planning, and content delivery while managing complex initiatives across a global organization.

Tenure-track Assistant Professor responsible for conducting advanced manufacturing research, securing external funding, publishing scholarly work, teaching undergraduate and graduate mechanical engineering courses, collaborating across disciplines, and contributing to departmental, university, and professional service.

Leads Alkami’s enterprise and technology risk management program, including risk assessments, control evaluations, mitigation, monitoring, reporting, and escalation. Owns AI, machine learning, and generative AI governance, translating regulatory and risk expectations into practical policies, controls, and review processes. Partners with cross-functional risk owners and supports compliance initiatives involving business continuity, disaster recovery, regulatory management, and incidents. Reports to the Chief Compliance Officer in a fully remote role.

Leads risk advisory engagements for not-for-profit and higher education clients, assessing risks, internal controls, compliance, enterprise risk management, and business processes. Develops recommendations, internal audit plans, and improvement programs; manages projects, finances, quality, client relationships, and business development. Coaches teams, supports proposals and thought leadership, applies AI and analytics, and drives sales, utilization, and practice growth.

Leads enterprise Data, AI, analytics, agentic AI, and intelligent automation strategy. Owns demand management, portfolio governance, investment prioritization, AI roadmaps, experience marketplace development, adoption, and value realization. Advises executives, drives business capability planning, establishes responsible governance, and leads a global team of AI business partners, product managers, strategists, and experience leaders.

Leads discovery, requirements, stakeholder alignment, and architecture for AI solutions serving faculty, researchers, and staff. Designs secure, maintainable solutions; selects tools; prototypes with AI platforms, APIs, and low-code tools; evaluates cost, risk, privacy, security, and sustainability; manages governance approvals; documents decisions; and supports implementation, testing, demonstrations, and production transition in partnership with AI engineers.

Lead the strategy, roadmap, launch, adoption, and ongoing improvement of an AI-powered clinical data insights platform. Partner with Data Science, Engineering, and application teams to create reusable capabilities, define platform metrics, prioritize investments, evaluate build-versus-buy decisions, and align senior stakeholders across clinical, technical, and business objectives.

Own enterprise and government-facing B2B revenue for AI software products, managing the full sales cycle from lead generation through deal closure. Develop enterprise clients, strategic partnerships, and distribution channels; meet sales targets; collaborate on go-to-market strategies; monitor market and competitor trends; and represent the company at industry events. The role is fully remote and includes base salary, commission, and equity.

Own the direction and delivery of user-facing generative AI products, including AI agent and chat experiences. Understand technical and non-technical users, identify workflow opportunities, prioritize product development, and partner with engineering and infrastructure teams to deliver stable, performant products. Collaborate with Learning and Development and business teams to drive adoption, experimentation, and AI skill development. Evaluate product success through data, cost-benefit analysis, and user research while adapting to industry changes.

Lead sprint planning, delivery throughput, dependencies, timelines, prioritization, and resource allocation across a portfolio of generative AI products. Coordinate cross-site teams, manage technology-provider support requests, remove blockers, and produce recurring reports for technical and non-technical stakeholders. The role requires strong execution, communication, and program management discipline across concurrent initiatives.

Owns a portfolio of AI vendor tools, including Claude, ChatGPT, Copilot, and Gemini. Responsibilities include setting product strategy and roadmaps, gathering requirements, prioritizing enhancements, coordinating integrations and execution, prototyping evaluation dashboards, and driving firm-wide adoption. The role also involves building and managing a support team for vendor tools while collaborating with technical and non-technical stakeholders.