Top Artificial Intelligence Jobs

Lead AI enablement for investment teams by translating LLM and generative AI capabilities into practical workflows, training and coaching investors, creating reusable prompt libraries and playbooks, guiding agentic designs, partnering with engineers and product teams, and ensuring responsible, secure adoption with measurable outcomes.

Build and deploy AI agents, automations, and tools that transform organizational processes. Embed with teams to map workflows, deliver time-boxed solutions using Claude and related platforms, measure business value, document and hand off production-ready systems, troubleshoot during stabilization, and create reusable patterns. Partner with AI Platform Operations, IT, risk, and staff while ensuring responsible handling of sensitive data and teaching teams to maintain solutions.

Leads end-to-end development of an AWS-based healthcare analytics platform across frontend, backend, data infrastructure, and AI capabilities. Sets architecture and engineering standards, writes and reviews code, mentors engineers, and partners with product, data engineering, and data science teams. Develops ETL pipelines, production machine learning services, generative AI features, and scalable analytics products while maintaining security, governance, privacy, and healthcare data quality standards.

Drive Pinterest’s programmatic advertising revenue through full-funnel sales strategies for major clients. Build executive and agency relationships, negotiate partnerships, advise on programmatic buying and measurement, oversee campaign setup and optimization, and deliver data-driven growth recommendations. Collaborate with Sales, Product, Engineering, and Operations teams while using AI for account research, campaign insights, forecasting, scenario planning, QA, and workflow automation.

Integrate and fine-tune existing AI models within production software, evaluate model performance, build evaluation frameworks, configure observability, develop Python AI features, and troubleshoot real-world performance. Collaborate with data science, engineering, the CTO, and cross-functional teams to improve products and identify AI innovation opportunities. This role focuses on applying existing models rather than designing new machine learning models.

Lead client-facing AI transformation and enablement engagements for mid-market companies. Design and deliver practical sessions that drive executive confidence, behavior change, and measurable AI adoption. Own client relationships between sessions, provide follow-up support and strategic guidance, stay current on AI tools, and identify adoption patterns that improve the company’s methodology. The role is full-time and remote, with travel to client sites required for some engagements.

Own strategic alliance and client relationships from discovery through deployment and expansion. Lead complex AI simulation engagements, joint selling, proposals, partner enablement, Centers of Excellence, governance, playbooks, and repeatable go-to-market systems. Collaborate with engineering, product, deployment, and commercial teams to translate partner needs into scalable solutions. Represent the company with senior executives and help partners embed the technology across their organizations and client offerings.

Supports an Agency MBS and CMO trading desk through market analysis, valuation assessment, relative value idea generation, and risk evaluation. Builds datasets, models, data tools, and automation workflows using Python and Excel/VBA. Partners with risk, modeling, and technology teams to improve desk analytics and infrastructure. Applies AI tools to research and workflow optimization, and communicates market views, opportunities, and findings to traders, salespeople, and clients.

Owns the university’s learner-facing digital experience across CRM, SIS, portals, and AI tools from initial contact through graduation. Responsibilities include business analysis, system configuration, data integrity, reporting, UX decisions, issue triage, requirements gathering, and cross-functional enhancement delivery. The role manages projects, supervises employees, maintains documentation, monitors system performance, and improves recruitment and enrollment processes through Salesforce, analytics, and AI-driven workflows.

Build and operate customer-facing AI agent experiences for loyalty programs, including LLM workflows, tool calling, guardrails, evaluations, monitoring, personalization, and streaming chat. Integrate frontend, backend, APIs, data services, and AI orchestration layers. Partner cross-functionally to ship measurable products, maintain quality, protect sensitive data, and support features in production.

Owns the architecture and technical direction of an AI-enabled enterprise platform built with secure, cloud-native microservices. Leads technical execution, architecture, coding, code reviews, mentoring, release management, production support, and integration design. Partners with product and engineering stakeholders to translate requirements into milestones and deliverables. Designs AI application patterns, APIs, data flows, identity integrations, CI/CD practices, and secure deployments to Azure Kubernetes Service in Azure Government.

Build foundational AI systems across model post-training, reinforcement-learning environments, distributed systems, performance optimization, backend services, APIs, SDKs, and developer tools. Own projects from definition through rollout, write reliable code, investigate complex failures, build tests and metrics, and collaborate through design reviews. The role emphasizes strong computer-science fundamentals, rapid learning, technical initiative, and ownership for early-career engineers.

Creates AI-driven social media content and advertising creative, including videos, graphics, captions, voiceovers, and music. Develops repeatable AI workflows, prompt libraries, and creative variations for testing. Translates attorney expertise and case wins into compliant content, collaborates with media buying and content teams, uses performance insights to improve campaigns, and evaluates emerging AI tools. The role requires strong short-form video, copywriting, design, editing, and rapid iteration skills.

Provides senior legal counsel on technology, product development, data privacy, governance, licensing, cybersecurity, and responsible AI. Advises Product and Engineering teams throughout the product lifecycle, leads privacy compliance, negotiates SaaS and technology agreements, manages privacy vendors, and partners with Procurement on contract lifecycle processes. Balances legal, business, policy, and reputational risks while advising senior stakeholders and counterparties.

Leads enterprise AI transformation across Operations, Supply Chain, Marketing, Technology, Finance, and Restaurant Support. Owns the AI roadmap, maps and redesigns business processes, prioritizes use cases, translates requirements for technical teams, pilots and scales solutions, measures realized value, and establishes responsible AI delivery standards. Builds and leads a transformation team while driving change management, adoption, executive reporting, and cross-functional operating models.

Develop AI/ML features using LLMs, generative AI, RAG, conversational agents, and machine learning models. Build production pipelines, integrate model APIs, evaluate quality and performance, and create secure full-stack services. Collaborate with product, architecture, infrastructure, security, and QA teams while documenting solutions and contributing to code reviews.

Use CFD tools (FLACS, FDS, others) to model battery fires, gas dispersion, deflagration, and thermal impacts. Perform pre/post-processing, V&V against large-scale tests, support performance-based design and code compliance, produce technical reports, and collaborate with multidisciplinary teams while developing domain expertise.

Lead principal for CFD and physics-based simulation focusing on CFD, fire/explosion, refrigerant leakage, battery thermal runaway, combustion, multiphase flows, and electronics cooling. Own V&V strategy and model credibility, enforce ASME/NASA/Oberkampf & Roy best practices, drive test-to-simulation correlation, mentor engineers, produce technical reports for certification, and guide global teams on validated modeling approaches for safety-critical applications.

Lead evaluation, adoption and measurement of AI, GEO and analytics technologies for corporate communications. Develop measurement frameworks, dashboards and insights to improve discoverability in LLMs and AI search, support technology pilots and implementations, train teams, and scale AI-enabled workflows to boost communications effectiveness and visibility.

Design and implement enterprise AI architectures, reference designs, integration patterns, governance frameworks, and technical standards. Partner with stakeholders to define requirements, roadmaps, and scalable AI solutions. Guide teams deploying AI models and analytics on AWS while ensuring security, compliance, resilience, and responsible AI adoption. Communicate technical strategies to leadership and nontechnical audiences.

Designs, builds, tests, documents, and maintains AI-assisted workflows supporting learning and technology adoption programs. Applies instructional design and adult learning principles to evaluate AI-generated content, improve processes, and maintain AI tool libraries. Provides coaching and workshops on AI usage, develops learning and adoption reporting, and collaborates with Learning & Development, Data & AI, IT, and Knowledge Management teams.

Designs, builds, tests, and supports NICE Cognigy virtual agents for digital chat and omnichannel self-service. Develops conversation flows, intents, entities, NLU models, integrations, and live-agent handoffs. Monitors bot analytics and interaction data, troubleshoots production issues, maintains documentation, and ensures security, privacy, accessibility, and compliance. Collaborates with business, IT, product, and experience design teams on discovery, releases, and continuous automation improvements.

Leads go-to-market strategy, sales enablement, and adoption of AI-powered selling tools across the Large Law organization. Translates sales, marketing, product, and customer data into actionable insights, manages cross-functional commercial initiatives, develops training and workflows, tracks adoption and business impact, and coordinates product issue resolution. The role requires influencing Sales, Customer Success, Marketing, Product, and Operations stakeholders while driving change and accountability without direct authority.

Leads enterprise Microsoft Power Platform strategy, architecture, governance, Center of Excellence maturity, and delivery. Designs secure integrations, standards, environment strategies, and reusable frameworks across Power Apps, Power Automate, Power BI, Dataverse, Microsoft 365, Azure, and AI capabilities. Oversees initiatives from intake through adoption, mentors technical teams and citizen developers, advises senior leaders, manages risks and dependencies, and drives measurable business outcomes.

Build and maintain Contentful Marketplace features, applications, services, APIs, and developer tooling. Contribute across Applied AI, extensibility, integrations, and platform capabilities while improving contribution workflows, trust and safety, reliability, observability, and operational quality. Collaborate with product, design, and engineering teams, own software in production, and use AI-assisted development workflows to improve engineering productivity and delivery.