Top Artificial Intelligence Jobs

Partners with business stakeholders and AI leadership to identify and evaluate workplace AI use cases, quantify business impact, develop buy-versus-build recommendations, and track adoption, performance, and ROI. The role analyzes workflows and operational data, creates baselines, dashboards, business cases, vendor comparisons, and executive-ready recommendations to guide AI implementation and adoption strategies.

Leads Tea’s engineering organization and strategy, overseeing technical direction, architecture, delivery, hiring, mentoring, and team growth. The role partners with executive and cross-functional leaders to build scalable, reliable, secure systems and customer-facing products. Responsibilities include engineering planning, resource allocation, development standards, system design, code reviews, and occasional hands-on development. The leader will balance rapid product delivery with long-term scalability and operational excellence in a high-growth startup environment.

Drive full-cycle sales for a CRM serving government contractors, from lead generation through contract close. Responsibilities include identifying prospects, attending conferences and industry days, shaping opportunities, winning contracts, and supporting customer success. The role partners closely with government customers and requires strong initiative, technical aptitude, collaboration, urgency, and willingness to travel.

Senior Corporate Counsel will negotiate commercial, data licensing, vendor, customer, partnership, and NDA agreements; manage contract workflows; advise on AI data rights, privacy, consent, and data protection; monitor legal developments; and develop templates and review processes. The role also provides occasional employment, IP, and lease support with external counsel. This is the company’s first in-house attorney role, focused on practical legal guidance for research and product development.

Lead integrated financial planning across Azure and AI, including budgeting, forecasting, long-range planning, investment reviews, driver-based analysis, and executive decision support. The role connects financial performance, operational metrics, infrastructure investments, and strategic priorities across Finance and business organizations. Responsibilities include improving planning processes and forecast accuracy, developing leadership narratives, aligning stakeholders, and influencing investment and resource allocation decisions in an ambiguous, rapidly evolving technology environment.

Designs, develops, tests, and operates secure Azure data services in air-gapped and regulated environments. Responsibilities include writing maintainable code, debugging incidents, conducting code reviews, improving reliability and security, evaluating architectural options, contributing to design documents, and mentoring engineers. The role applies AI tools across the software development lifecycle and ensures solutions meet performance, scalability, compliance, privacy, and resiliency requirements.

Develop high-quality training data for AI language models through semantic, morphosyntactic, grammar, speech, and vocabulary annotation. Analyze English and Spanish language data, validate corpus tags, write rigorous grammar explanations, and design usage-based vocabulary tasks and lesson outlines informed by corpus and annotation data.

Advises pharmaceutical and life sciences clients on R&D operations, clinical trial design, organizational design, process optimization, regulatory compliance, analytics, and portfolio management. Develops actionable strategies, executive presentations, and decision-support insights while coordinating projects and client workshops. Guides junior team members, supports change management, and helps clients improve R&D productivity, operational effectiveness, growth, and innovation across the drug development lifecycle.

Leads in-person applied AI engineering courses for college students, delivering engaging lessons, managing teaching assistants, collaborating with university stakeholders, and using student feedback to improve curriculum and outcomes. The instructor teaches generative AI, large language models, multimodal systems, and AI-assisted development while coordinating with CodePath instructors and program managers.

Supports healthcare feasibility analytics by translating clinical and genetic cohort requirements into SQL queries, data transformations, visualizations, and actionable insights. Analyzes EMR, genomic, laboratory, and claims data; maintains dashboards and workflows; supports data quality assurance; and documents processes for post-sale development. Collaborates with clinical, research, business development, and technical teams while developing oncology and clinical genomics expertise.

Own major product areas end to end, driving roadmaps with customers and product managers. Build and ship full-stack features across frontend, backend, and databases, using AI agents for coding and review. Create technical design documents, collaborate with staff engineers, and work directly with finance professionals, sales, and customer success to turn user needs into product improvements.

Lead solution architecture and digital transformation for commercial insurance platforms. Design scalable, secure, resilient cloud and hybrid solutions across applications, data, integration, infrastructure, and security. Develop architecture roadmaps, integrate AI and data capabilities, guide engineering teams, ensure regulatory and enterprise standards compliance, and collaborate with business and technical stakeholders. Mentor developers and architects while researching emerging technologies and supporting modernization initiatives.

Leads advanced quantitative research, institutional evaluation, and statistical analysis of college performance and student outcomes. Advises faculty, staff, and leaders on research design, evidence interpretation, data literacy, and responsible data use. Develops visualizations, communicates complex findings, supports strategic planning, and manages complex analytical projects involving multiple stakeholders and deadlines.

Own the vision, strategy, and roadmap for Harvey’s embedded legal-work experiences, beginning with the Word Add-In. Drive product discovery, launch, adoption, engagement, and quality for drafting and document review workflows. Partner with Design, Engineering, AI, marketing, and go-to-market teams while working closely with lawyers to guide product decisions through customer insight and usage data.

Design, build, test, and release secure shared services, libraries, pipelines, APIs, and platform capabilities for data and AI products. Partner with product managers, evaluate technologies, create design proposals, develop reusable versioned interfaces, and support production operations. Contribute to architecture and roadmap decisions, conduct code and design reviews, mentor engineers, and establish engineering practices for a new team.

Leads a US-based software engineering team building reusable data foundations and AI platform capabilities. Partners with product management on priorities and outcomes, manages and develops engineers, owns architecture and technical direction, contributes hands-on to critical designs and code, and oversees execution, reliability, testing, releases, cost, and production services. Requires strong data modeling, governance, cloud platform experience, product judgment, and cross-functional influence.

Develops, tests, evaluates, and deploys machine learning models using established architectures and frameworks. Supports feature engineering, data preprocessing, automated training and monitoring pipelines, and production AI integration. Collaborates with engineering and product teams on AI requirements, researches methods to improve model performance, and supports urgent IT incidents. The role requires strong Python and machine learning experience, knowledge of deep learning and generative AI, and advanced quantitative education.

Develop, test, and deploy machine learning models; support feature engineering, preprocessing, evaluation, and automated training and monitoring pipelines. Collaborate with engineering and product teams to define AI solutions, research methods to improve performance, and support urgent IT escalations. The role requires advanced quantitative education, 5+ years of AI/ML engineering experience, Python expertise, and knowledge of deep learning and generative AI.

Build, test, deploy, and evaluate machine learning models using established frameworks. Support feature engineering, data preprocessing, automated training and monitoring pipelines, and production AI integration. Collaborate with engineering and product teams to define AI requirements, research performance improvements, and respond to critical IT incidents. The role requires advanced quantitative education, 5+ years of AI/ML engineering experience, Python expertise, and knowledge of deep learning and generative AI.

Develop, test, deploy, and serve machine learning models and agentic AI capabilities. Build feature engineering, experimentation, training, monitoring, and REST-based model-serving workflows. Collaborate with data science, engineering, product, and MLOps teams to productionize AI solutions at enterprise scale using distributed computing, Databricks, cloud platforms, and containerized infrastructure. Support model performance improvements, generative AI initiatives, and urgent IT escalations.

Leads advancement operations across data management, gift administration, prospect research, CRM administration, analytics, technology, and data governance. Oversees teams, budgets, projects, reporting, process improvement, technology implementations, and fundraising insights. Ensures data integrity, regulatory compliance, effective CRM utilization, prospect portfolio development, and operational performance. Partners with advancement and university technology leaders to implement scalable solutions, improve workflows, and support data-informed fundraising decisions.

Supports commercial lending strategy and operations technology initiatives through advanced analytics, reporting, business requirements, process-to-system design, prioritization, change management, and stakeholder coordination. Develops performance, capacity, risk, and delivery insights for executive decision-making. Coordinates exam preparation, RCSA cycles, issue forums, and adoption efforts while partnering across lending, credit, risk, compliance, operations, and technology teams. Improves analytics frameworks, reporting, and operating processes using data, automation, AI, and machine learning.

Leads strategy, roadmap, transformation, and value realization for a financial planning product serving agents, advisors, and clients. Defines financial engineering models, AI-enabled features, product requirements, metrics, and compliance controls. Partners with Technology, Data, AI, Actuarial, Distribution, Legal, and Compliance teams, manages fintech partnerships, drives agile delivery and adoption, and builds a high-performing product organization.

Leads engineering for ServiceNow’s AI Control Tower, owning product roadmaps, technical delivery, AI-native development practices, early product adoption, team building, and cross-functional execution. The role requires startup experience launching products from scratch, deep cloud-native SaaS and data architecture expertise, and hands-on leadership across AI platforms, governance, observability, security, and enterprise-scale infrastructure.

Leads complex technology projects and strategic initiatives for Asset & Wealth Management Technology. Responsibilities include analyzing operational and financial data, conducting industry research, developing quantitative and qualitative analyses, coordinating leadership meetings, preparing executive communications, managing stakeholders and risks, and supporting technology strategy execution.