Top Artificial Intelligence Jobs

Lead and grow the AI Platform engineering team while remaining hands-on in production machine learning. Own matching, ranking, retrieval, personalization, agentic workflows, trust and safety, evaluation, and model quality, cost, and latency. Hire and coach engineers, set technical direction, translate business goals into roadmaps, and ship systems that improve recruiting outcomes. The role requires production ML or LLM experience, strong evaluation and data skills, technical leadership, and weekly coding involvement.

Lead intellectual property workstreams for acquisitions, investments, and complex commercial and research agreements. Conduct IP diligence, negotiate IP provisions, advise business and legal teams on IP risks, and develop scalable playbooks, templates, and processes. The role also contributes to broader IP strategy involving open source, trade secrets, patents, and emerging AI-related business models.

Build and deploy dependable AI agents, automations, controls, and external-facing solutions across finance, credit risk, servicing, collections, and operations. Partner with business users to scope workflows, design systems, write evaluations, instrument production processes, measure business impact, and drive adoption. Develop reusable agent patterns and harness standards while applying governance, human review, monitoring, and escalation controls.

Designs and supports AWS cloud platform products, automation tools, CI/CD pipelines, DevOps tooling, infrastructure-as-code solutions, and account provisioning automation. Leads complex technical initiatives, improves development and deployment processes, establishes security and access controls, supports operational excellence, and advises stakeholders on platform strategy. Serves as a technical subject matter expert and mentors engineers while ensuring reliable, compliant, and scalable cloud infrastructure.

Leads enterprise data governance and AI-readiness initiatives, including metadata, lineage, catalogs, semantic models, data quality, access, lifecycle management, and standardized business definitions. Establishes governance policies, facilitates councils, resolves cross-functional issues, supports privacy and regulatory compliance, and communicates risks and outcomes to leadership. Partners with technical and business teams on data products and metric definitions, translates technical concepts, identifies governance gaps, and mentors junior analysts.

Creates accurate, production-ready visual assets for digital, print, apparel, product, ecommerce, and marketing channels. Uses Photoshop, Illustrator, generative AI, ComfyUI, automation, templates, and asset libraries to develop, refine, adapt, and quality-check designs at scale. Maintains licensed brand standards, prepares technical specifications, resolves visual and production issues, and collaborates with design, merchandising, marketing, licensing, product, production, and vendor teams.

Leads Omnicell’s enterprise AI security strategy, architecture, governance, engineering, and operations. Establishes controls for AI platforms, LLMs, agents, connected devices, and autonomous systems across their lifecycles. Responsibilities include AI inventories, agent identity and authorization, secure GenAI and RAG architectures, threat modeling, red teaming, detection and response, vendor assessments, Zero Trust controls, and cyber-physical security. The role partners with product, technology, privacy, legal, and regulatory teams in a highly regulated healthcare environment.

Lead enterprise AI capability roadmap, partner with executives to prioritize and deliver AI use cases, establish governance and risk frameworks, manage cross-functional delivery and vendor relationships, run program management for AI initiatives, and drive adoption, training, and measurable business outcomes across the organization.

Supports the Legal & Compliance team with contract drafting and review, regulatory research, policy development, privacy assessments, AI governance, and marketing compliance reviews. Collaborates with Product, Risk, Privacy, Marketing, and business teams while gaining exposure to financial services regulation, data privacy, artificial intelligence, and advertising law. The role includes mentorship, professional development, and an eight-week full-time program in New York City.

Leads Yoodli’s full-stack marketing function, owning pipeline generation, marketing measurement, product positioning, brand and category development, customer advocacy, partner marketing, and executive communications. The VP will build scalable demand and attribution systems, manage a four-person team, develop marketing talent, run growth experiments, and collaborate with Sales, Product, Customer Success, and the board to drive revenue and company strategy.

Lead Outpost from pre-seed startup to category-defining company by setting market strategy, commercializing its autonomous infrastructure platform, securing design partners and early revenue, raising seed financing, recruiting the founding team, and owning strategy, product prioritization, partnerships, operations, and company building. The role requires hard-tech commercialization experience, industrial customer relationships, technical fluency across energy, AI, compute, and robotics, and exceptional storytelling.

Lead Cure from company formation through product-market validation and seed financing. Define the market wedge, secure enterprise design partners, shape an AI-native recovery product, establish data and evaluation loops, recruit the founding team, build the company narrative, and lead fundraising. The role requires enterprise AI judgment, commercial credibility, consumer-finance and regulatory understanding, and founder-level ability to create a new category.

Founding CTO will architect and build Cure’s AI-native customer engagement and recovery platform. Responsibilities include developing conversational agents, decisioning and personalization systems, evaluation and feedback loops, enterprise integrations, and secure, explainable infrastructure. The CTO will work with customers, lead product and engineering execution, recruit early technical talent, and establish the organization needed to scale a reliable platform for regulated industries.

Lead and scale Roboflow’s SMB and Mid-Market sales organization. Responsibilities include managing and coaching Account Executives, owning revenue performance, improving pipeline generation and conversion, building repeatable sales processes, establishing forecast and operating cadences, hiring and developing sellers, and collaborating cross-functionally to refine segmentation, positioning, and go-to-market strategy.

Leads and scales Roboflow’s Sales Development organization, owning SDR team performance, pipeline generation, outbound strategy, account targeting, enablement, analytics, hiring, onboarding, and career development. Partners with Sales, Marketing, Revenue Operations, and Recruiting to build a scalable SDR operating system, improve opportunity quality and conversion, support technical buyer engagement, and establish a strong SDR-to-AE talent pipeline.

Builds and deploys physical AI and computer vision systems for enterprise customers. Responsibilities include curating video data, training and evaluating models, integrating cameras through RTSP and ONVIF, deploying inference to edge or cloud hardware, building alerts and dashboards, managing retraining loops, and supporting pilots at customer facilities. The role also creates deployment documentation, demo environments, simulations, digital twins, and robotics integrations.

Build and deploy governed AI applications for Clayco employees, including retrieval over internal procedures, training content, project history, and documentation. Translate domain models into effective retrieval boundaries, evaluate AI approaches against real work tasks, establish prompt and context engineering standards, and integrate applications with the company’s agent registry and identity model. The role requires production experience with retrieval and document intelligence, close collaboration with domain experts, and comfort working in an early-stage AI program.

Develop and optimize deep learning models for breast cancer detection and medical imaging. Conduct AI research, analyze large medical datasets, validate models for clinical and FDA requirements, and collaborate with engineers, radiologists, product, marketing, and clinical teams. The role also involves research publications, technical documentation, patent development, cross-functional collaboration, and mentoring junior researchers.

Leads integrated marketing, brand, public relations, communications, employer branding, partnerships, and industry events. Develops messaging and positioning, advises senior leaders, manages external relationships, and aligns campaigns with sales and recruiting priorities. Uses analytics, attribution, and AI-enabled tools to measure awareness, pipeline, revenue, and talent outcomes. Oversees vendors and collaborates cross-functionally to strengthen market visibility and support business growth.

Develop customer-specific value frameworks, ROI models, and investment cases for complex enterprise sales cycles. Partner with sales teams, customers, finance, operations, and executives to quantify business impact, including cost reduction, revenue growth, and customer loyalty. Build repeatable industry-specific business cases and establish the company’s business value methodology from the ground up while remaining hands-on with financial modeling and analysis.

Lead end-to-end product design for Remitly’s core remittances experience, from discovery and ideation through wireframes, prototypes, and shipped interfaces. Partner with product, engineering, research, writing, and analytics teams to define customer problems, influence product direction, and advocate for user needs. Design cohesive, emotionally engaging experiences while setting a high bar for interaction and visual design.

Design and operate secure enterprise access to approved AI tools and model endpoints through web gateways, proxies, CASB, API gateways, and AI security controls. Implement routing, authentication, authorization, DLP, data inspection, policy enforcement, monitoring, and performance optimization for AI traffic. Partner with security, infrastructure, legal, risk, and application teams to onboard AI use cases, troubleshoot access and latency issues, develop reusable architectures, and support governance, auditability, and regulatory compliance.

Own a large scaled-customer book, managing onboarding, adoption, renewals, retention, account health, and risk. Design and operate one-to-many customer education programs, including curricula, learning paths, webinars, lifecycle communications, digital onboarding, and self-service resources. Measure program impact through retention, engagement, activation, and re-engagement metrics. Partner with Support, Product, Sales, and Marketing to resolve blockers, identify expansion opportunities, and scale successful customer motions.

Lead and grow an AI engineering organization to design, build, and operate production-grade AI services. Define architecture, drive execution, implement RAG, agents, and orchestration, ensure reliability, observability, and CI/CD, and partner with Product, Data, Security, and business stakeholders while recruiting and mentoring engineers.

Leads financial reconciliations, variance analysis, financial controls, audit coordination, and remediation for Finance transformation initiatives. Reviews AI- and automation-assisted outputs for accounting accuracy, ensures alignment with control frameworks and data integrity standards, and manages exceptions and audit-ready documentation. Partners with Finance leadership, auditors, and cross-functional teams while supporting the adoption of AI and automation across Finance processes.