Top Artificial Intelligence Jobs

Researches, develops, tests, and implements advanced manufacturing technologies for aerospace production. Manages technical requirements, suppliers, research partnerships, and projects from concept through production. Applies TRL and MRL frameworks, supports manufacturing improvements, and collaborates cross-functionally to optimize throughput, quality, and process variation.

Provides strategic legal counsel to Arity’s advertising and marketing business on commercial agreements, product development, data services, privacy, technology, advertising, and consumer protection. Drafts and negotiates contracts, researches emerging laws, manages legal risks, supports compliance initiatives, and partners with cross-functional teams on innovative business models. The role requires collaboration across affiliated entities, practical business guidance, and occasional business travel in a remote environment.

Build and operate secure, scalable platform infrastructure for AI-driven applications across cloud, on-premises, and edge environments. Own SRE practices, CI/CD, deployment automation, observability, performance optimization, incident response, and reliability improvements. Develop Python-based internal tools, partner with software teams on production readiness, and support customer-site installations and lifecycle operations. The role also emphasizes security, compliance, developer productivity, and distributed-system troubleshooting.

Provides executive leadership for enterprise IT infrastructure, network and telecommunications strategy, technology operations, systems architecture, disaster recovery, change management, and continuous improvement. Oversees engineering, integration, testing, maintenance, service delivery, strategic partnerships, workforce development, and healthcare medical-device integration. Collaborates with information security leadership to protect enterprise data and ensure business continuity across the academic medical center.

The Assistant Professor will teach online and on-campus public health courses, develop an independent biostatistics research program, secure extramural funding, publish in high-quality journals, and provide institutional service. Research may involve spatial analysis, hierarchical and longitudinal data, complex surveys, causal inference, statistical learning, bioinformatics, imaging, electronic health records, and machine learning applications in public health, with an emphasis on health equity in urban and immigrant populations.

Own strategic acquisition and expansion of AI-native and enterprise accounts for GPU infrastructure and the Model Factory platform. Build relationships with technical and economic buyers, translate AI roadmaps into multi-year capacity commitments, construct and negotiate seven- and eight-figure agreements, and expand customers across compute, training, post-training, inference, and platform adoption. Partner with Solutions Architecture, Compute, Finance, and leadership on technical validation, pricing, supply, forecasting, and commercial strategy.

Leads enterprise transformation and product lifecycle initiatives within Merchant Services. Defines business outcomes, prioritizes AI and automation opportunities, redesigns workflows, drives organizational adoption, establishes success metrics, embeds risk and regulatory controls, and leads operating-model and organizational changes. Partners with senior leaders and cross-functional teams while building transformation capabilities through training, coaching, change communities, and managed portfolios.

Own commercialization of Block’s emerging AI portfolio from product and pilot stages through scaled enterprise adoption. Develop market strategy, pricing, packaging, partnerships, and routes to market; secure lighthouse customers and strategic partners; design pilots that convert to production relationships; create repeatable sales and partnership processes; and build the commercial organization as product-market fit develops.

Lead commercialization of emerging AI products by winning enterprise customers and strategic partners, structuring pilots, converting engagements into scaled relationships, and owning partnerships from negotiation through launch and optimization. Collaborate closely with Product and Engineering to shape offerings, validate product-market fit, develop pricing and commercial models, and build a scalable go-to-market strategy.

Own product marketing for the Platform and Data portfolio, including positioning, messaging, launches, enablement, migration tooling, website content, partner marketing, and competitive intelligence. Translate technical infrastructure and AI capabilities into compelling narratives for sales, prospects, analysts, and the US market. Partner with Product, Sales, and technology partners while shaping launch processes and using AI-assisted workflows.

Own and grow strategic CX accounts, drive expansion and new-logo acquisition, and lead direct and partner-led sales motions. Build executive relationships, develop account and territory strategies, conduct discovery and value presentations, manage proposals and RFX responses, negotiate contracts, and close deals. Coordinate solution consultants, internal SMEs, and partners to deliver AI-enabled contact center, messaging, digital engagement, journey management, and analytics solutions across healthcare, retail, financial services, and telecommunications.

Build and ship marketing sites, landing pages, and microsites across five product brands using AI coding agents. Maintain distinct brand identities, reusable design systems, SEO foundations, information architecture, and frontend quality. Review and correct AI-generated code, copy, and design; conduct competitive research; manage cross-brand component decisions; and use browser inspection and screenshot-based critique loops to deliver production-ready work.

Leads the architecture, development, testing, deployment, and integration of enterprise software, data pipelines, and AI/ML solutions. Builds prototypes, production applications, APIs, and intelligent automation while implementing CI/CD, monitoring, observability, security, explainability, bias mitigation, and privacy-preserving techniques. Collaborates with business, technology, DevOps, and platform stakeholders to deliver scalable solutions and document technical architectures and operational procedures.

Leads executive discovery and business transformation initiatives, identifying AI, GenAI, data analytics, automation, and process optimization opportunities. Develops transformation roadmaps, business cases, ROI models, and AI adoption strategies while translating business needs into practical technology solutions. Applies industry expertise across hospitality, restaurants, casinos, and gaming, collaborates with technical teams, supports implementation planning and change management, and travels to client locations as needed.

Creates AI-generated videos for campaigns, platform demonstrations, social media, and internal projects from concept through final cut. Builds HyperFrames and HeyGen workflows, uses generative video models and advanced prompting, develops reusable prompt libraries, and creates hooks and content variations. Writes concepts, shot lists, storyboards, and prompts; edits footage in Premiere, After Effects, and CapCut; exports content for multiple platforms and aspect ratios; and tracks trends and model developments.

Build and deploy AI-enabled workflows across internal departments, partnering with business leaders and subject-matter experts. Design agentic solutions, evaluations, integrations, tools, and reusable platform capabilities. Establish operating models for discovery, onboarding, adoption, production support, and continuous improvement. Translate deployment insights into enterprise AI platform investments while advising senior technical and business stakeholders.

Conduct research in embodied AI and robotics, focusing on robot learning, active perception, human-robot interaction, or embodied reasoning. Develop algorithms, evaluate them on physical robots in unstructured environments, analyze field data, and contribute to research publications. Work may involve foundation models, planning, decision-making, language-conditioned robotics, and real-world robot experimentation.

Build and deploy AI-enabled internal applications, dashboards, workflow automations, reporting tools, and system integrations for insurance operations. Develop web solutions, APIs, and database connections; integrate insurance, cloud, and SaaS platforms; and test systems supporting underwriting, billing, claims, reporting, and security. Translate operational needs into technical solutions while collaborating with internal teams, vendors, and nontechnical stakeholders. The role requires full-stack or backend development experience and production experience with AI/ML or LLM applications.

Leads a team of approximately 10 Agent Builders while delivering production-grade agentic AI and multi-agent solutions. Responsibilities include team development, hiring, code and design reviews, portfolio prioritization, stakeholder communication, LLM and RAG architecture guidance, platform governance, release quality, and AI operations. The role requires hands-on expertise with Python, cloud platforms, agent frameworks, evaluation, observability, and production GenAI systems.

Lead the delivery of AI-powered workflows across go-to-market, support, and business operations. Partner with business leaders to identify opportunities, build production systems with evaluation and monitoring, establish reusable AI infrastructure and governance patterns, and drive adoption through documentation, training, and enablement. Collaborate with Data, Engineering, Security, IT, and Legal on scalable, safe AI deployment, data handling, access controls, and compliance.

Leads and mentors an AI Security product management team while personally owning strategic product areas. Drives AI security product vision, lifecycle execution, pricing, packaging, sales enablement, customer advisory, and partnerships with model providers and design customers. Oversees solutions involving AI gateways, MCP gateways, agentic identity, guardrails, and automated red-teaming. Requires extensive enterprise cybersecurity product management experience, AI security expertise, people leadership, commercial acumen, and a technical degree.

Build production AI systems that improve technical learning for Hivemind engineers and customers. Develop an AI training coach, LLM-powered tooling, workshops, curricula, labs, assessments, and content automation. Integrate generative AI, retrieval, agents, and evaluation capabilities while maintaining strong software engineering, testing, observability, security, and operational standards. Collaborate with autonomy experts, engineers, applications engineering, and customer success to accelerate technical proficiency and product adoption.

Lead AI initiatives for Human Capital by identifying high-impact use cases, designing Python-based prototypes, integrating AI features with product and engineering teams, evaluating AI tools, shaping AI strategy, and mentoring junior engineers. The role requires translating business needs into practical solutions and collaborating across technical and non-technical stakeholders.

Commission-only outside sales role selling a quantitative AI trading platform to active retail and professional traders. Prospect at events, run live demos, host educational meetups, pursue B2B outreach to prop shops and small funds, and manage a sales pipeline to grow recurring subscriber revenue.

Own growth end to end by building AI-agent experimentation workflows, running rigorous acquisition and conversion tests, managing paid and organic growth, and producing launch content. Create product videos, landing pages, ads, and campaign narratives for enterprise buyers. Track pipeline, signups, CAC, conversion, and payback while partnering with founders and product to refine positioning and launches.