Top Artificial Intelligence Jobs

The AI Product Leader manages product delivery, client leadership, and applied AI strategy, ensuring successful execution and measurable business impact.

Lead and grow a team of AI and backend engineers while remaining hands-on with production LLM agents. Responsibilities include designing agent architectures, tools, skills, memory, evaluation systems, regression testing, observability, model selection, coding, hiring, performance management, and roadmap delivery. The role emphasizes reliable, auditable AI for regulated compliance workflows, including human handoffs and optimization for accuracy, cost, and latency.

Design international onboarding, trading, crypto, and money movement experiences across currencies, languages, and regulatory environments. Partner with product, engineering, legal, and compliance teams to address market-specific requirements while maintaining a cohesive user experience. Use AI to explore concepts, identify edge cases, and prototype rapidly. Drive design direction, simplify complex financial workflows, and deliver high-quality consumer products across global markets.

Research and develop embodied AI systems, including VLA and world models, for physical robots. Responsibilities span multimodal model training, large-scale robotics data pipelines, distributed optimization, deployment, real-world testing, debugging, and performance improvement. The role integrates perception, control, long-horizon planning, robot-environment interaction, and foundation-model research across the full lifecycle from data collection through deployment.

Own customer-facing AI, robotics, and autonomous driving projects from discovery through delivery. Translate technical and data requirements into scalable solutions, define workflows and project plans, coordinate internal and external stakeholders, resolve risks, and ensure quality delivery. Support technical proposals, statements of work, pricing, account expansion, and product feedback while building long-term customer relationships.

Lead the architecture and long-term technical direction of Databricks AI Runtime, a serverless GPU training platform. Drive reliability, observability, developer experience, GPU efficiency, orchestration, scheduling, data loading, checkpointing, and multi-node training capabilities. Partner with research, product, customers, and engineering teams to resolve complex technical trade-offs, anticipate GPU and workload trends, mentor senior engineers, and deliver scalable, cost-effective AI infrastructure.

Leads strategic sourcing and IT category management for infrastructure procurement, including hardware, data centers, networks, servers, laptops, telephony, and CCaaS. Develops multi-year category strategies, leads RFx processes and negotiations, analyzes spend and markets, drives savings and risk mitigation, and partners with Finance, Legal, IT, Contracting, and Operations. The role also advances automation, analytics, and AI in sourcing workflows while advising executives and developing sourcing talent.

The AI Solutions Architect designs and implements AI-enabled solutions across operations, collaborating with various teams to translate business needs into production-ready systems.

Build and maintain AI agents, automations, and data workflows using Copilot Studio, Power Automate, Python, and related tools. Partner with architecture, engineering, construction, BIM, estimating, and business teams to identify needs, validate AI outputs, extract information from documents, and improve processes. Provide demonstrations, training, coaching, documentation, support, and ongoing solution maintenance while applying data security and responsible AI practices.

Own enterprise sales to major DUS lenders, from discovery through pilots, pricing, legal, security review, procurement, and signed contracts. Build senior relationships across production, credit, origination, and underwriting teams; translate lender workflows into product feedback; partner closely with the founder on strategic accounts; and develop the repeatable playbook for expanding across additional lenders. The role requires deep agency lending expertise, NYC-based in-office work five days per week, and a 60-plus-hour workweek.

Own product marketing for Braze Decisioning Studio, including positioning, messaging, launches, competitive strategy, pricing and packaging input, field enablement, and portfolio narrative. Translate complex AI and data technologies for technical and business audiences, influence product roadmaps, engage customers and analysts, create thought leadership, and measure impact through pipeline, adoption, expansion, and competitive win rates.

Collect and record natural Afrikaans speech from approved real-life or AI interaction scenarios, complete conversational speech tasks, annotate recordings, and provide metadata. Contributors must follow detailed instructions, maintain high recording quality, and work from a quiet space with reliable internet, a microphone or headset, and an online recording platform. Native-level South African Afrikaans and advanced English are required. The role is freelance, remote, flexible, task-based, and pays $8 per hour.

Freelance contributors record spontaneous Swati speech, participate in conversational or AI interaction tasks, annotate recordings, and provide metadata. The role requires native-level Swati fluency, advanced English, attention to detail, reliable internet, a quiet recording space, a microphone, and access to an online recording platform. Work is remote, flexible, task-based, and approximately 2–4 hours daily at $8 per hour.

Collect and record natural Wolof speech, participate in conversational or AI voice tasks, annotate recordings, and provide metadata. Contributors must follow detailed instructions, maintain high-quality recordings in a quiet environment, and use a microphone, reliable internet connection, and online recording platform. Native-level Wolof fluency, advanced English, attention to detail, and flexible availability are required.

Collects spontaneous Cebuano speech through individual or two-person conversations and voice interactions, annotates recordings, and submits related metadata. Contributors follow detailed project instructions, record in quiet environments, and use an online platform to support speech recognition and conversational AI evaluation. The role is freelance, remote, flexible, and task-based, requiring native-level Cebuano fluency, advanced English comprehension, reliable internet, and recording equipment.

Supports AI workflow implementation and business operations for CAA Brand Consulting. Responsibilities include testing and documenting agentic workflows, maintaining AI component libraries, tracking workflow performance and usage, coordinating AI tool integrations, managing spend and reporting dashboards, administering vendor portals and access tiers, processing workflow requests, and coordinating departmental operations and stakeholder communications.

Leads product strategy, vision, roadmaps, prioritization, and execution for complex AI-powered capabilities within BNY’s Eliza AI platform. Partners with engineering, design, and cross-functional stakeholders to translate technical opportunities into product plans, manage tradeoffs, and deliver measurable outcomes. Drives discovery, requirements, product launches, adoption, enablement, and ongoing enhancement while strengthening product practices across the AI Hub.

Develop and manage AI-powered GTM content infrastructure, including enterprise chatbot skills, prompt frameworks, agentic workflows, RAG-ready content taxonomies, and automated feedback loops. Partner cross-functionally to support sales enablement, product launches, onboarding, and campaigns. Measure adoption, deal impact, and time savings while maintaining content governance, accuracy, compliance, and alignment with sales cycles.

Leads discretionary OCIO portfolio management across institutional and private wealth clients. Oversees asset allocation, portfolio construction, manager selection, implementation, cash management, rebalancing, risk management, and client communications. Partners with investment research, consultants, clients, and managers; supports business development and leads initiatives improving investment decision-making and operational scalability. Requires extensive investment experience, private markets expertise, strong analytical and modeling abilities, and proficiency with investment platforms and data tools.

Build, deploy, and improve AI agents for enterprise moving companies. Responsibilities include writing production code, designing AI workflows, integrating customer systems, debugging agent failures, optimizing prompts and evaluations, leading customer deployments, and translating recurring customer needs into scalable product features. The role combines software engineering, AI implementation, technical delivery, and direct collaboration with customer leadership.

Manage and grow Reco.ai’s channel partner ecosystem across the assigned territory. Responsibilities include partner relationship management, sales enablement, joint revenue planning, lead generation, account management, forecasting, market intelligence, partner training, and cross-functional coordination. The role requires cybersecurity channel expertise, strong communication skills, and willingness to travel up to 50%.

Senior GEOINT Systems Engineer supporting enterprise architecture, systems engineering, integration, requirements traceability, and modernization initiatives across NGA mission systems. Responsibilities include architecture gap analyses, engineering assessments, trade studies, CONOPS and roadmap development, integrated project planning, cross-organizational coordination, and end-to-end transitions to operations. The role requires expertise in GEOINT TCPED architecture, complex systems or cloud environments, digital engineering, and government or industry acquisition processes.

Manages eQMS technology, quality analytics, AI-enabled insights, dashboards, KPI frameworks, data governance, and compliance reporting across R&D and enterprise quality. Partners with quality and technology stakeholders to define requirements, monitor system health, identify risks, improve data quality, and support regulated system changes. Enables self-service analytics through training and documentation while reviewing compliant lifecycle documentation for data and models.

Designs and governs secure, scalable enterprise AI architectures across generative AI, machine learning, automation, and agent-based solutions. Establishes reusable patterns, standards, guardrails, and governance while integrating AI with enterprise data, applications, APIs, and cloud platforms. Advises teams on responsible AI, MLOps, LLMOps, monitoring, resilience, cost, compliance, and lifecycle management. Evaluates emerging technologies, supports proofs of concept, oversees architecture across initiatives, and communicates technical decisions to business and technology stakeholders.

Own SaaS customer renewals, expansions, churn prevention, pricing negotiations, and account growth across strategic accounts. Manage renewal forecasting, ARR, NRR, GRR, Salesforce data, QBRs, and executive relationships. Partner with Customer Success, Sales, Finance, Product, and leadership while using AI tools, customer analytics, and Salesforce data to improve renewal execution and demonstrate ROI.