Top Artificial Intelligence Jobs

Own the Intelligence and Applied AI product area for an AI automation platform. Define benchmarks, evaluation frameworks, and production quality standards; guide model experimentation and determine which capabilities ship. Partner with engineering on platform development, observability, and monitoring, establish operating processes, and enable sales and customer success to communicate AI capabilities accurately.

Leads the enterprise data strategy and three core functions: data architecture and services, analytics and insights, and data governance and quality. Oversees data platforms, integrations, warehousing, reporting, self-service analytics, AI-enabled insights, governance frameworks, and real-time quality monitoring. Partners with executive, operational, compliance, legal, security, IT, and AI leaders to improve decision-making, regulatory compliance, data trust, and organizational performance.

Supports investor relations strategy through investor and analyst engagement, briefing materials, earnings preparation, financial modeling, valuation analysis, consensus monitoring, competitive benchmarking, and investor feedback tracking. Coordinates conferences, roadshows, earnings activities, and special corporate events. Partners with Finance, Legal, Communications, Treasury, Accounting, executives, and business leaders while translating complex financial information into clear investor messaging.

Leads principal engineers and cross-functional teams delivering business systems, products, and platform enhancements for Verizon’s indirect consumer channel. Responsibilities include managing technology roadmaps, requirements, business cases, vendor relationships, integrations, Agile delivery, stakeholder communications, and CRM, product catalog, and point-of-activation platforms. The role also drives AI-enabled store solutions, KPI performance, customer and partner experience improvements, and organizational change.

Leads strategic sourcing and procurement initiatives for Data, AI, technology, and professional services categories. Develops sourcing strategies, manages RFPs, evaluates suppliers and pricing models, negotiates complex technology contracts, and manages strategic vendor relationships. Partners with technical, legal, privacy, security, finance, and senior leadership stakeholders to address commercial, operational, data, and supplier risks while improving value and cost predictability.

Leads Affinity’s product management organization, including PM coaching, operating cadence, roadmap execution, prioritization, and product craft standards. Partners with engineering, design, and marketing leadership to translate strategy into outcomes, strengthen metrics and impact modeling, advance AI fluency, and improve delivery predictability. The role also builds team culture, hires PM talent, and contributes to company-wide strategic planning.

Leads complex energy commodity trading and risk consulting engagements, managing project teams, client relationships, commercial processes, work planning, deliverables, and deadlines. Advises senior executives on trading strategy, operating models, commercial optimization, risk management, and transformation. Supports business development, thought leadership, and firm-building activities while coaching consultants and associates.

Leads strategic growth and innovation initiatives from business-case development through launch. Manages strategic partnerships, translates commercial objectives into product and technology requirements, oversees integrated roadmaps, establishes operating models and governance, and coordinates cross-functional execution. Advises C-suite leaders, drives stakeholder alignment, and maximizes adoption of innovation capabilities across financial-services channels and operations.

Advise research and data teams on copyright, privacy, licensing, AI regulation, data governance, model launches, and responsible scaling. Counsel technical and research teams on publications, collaborations, data sharing, biosecurity, dual-use research, and regulatory readiness. Monitor global legal developments and translate them into practical guidance while engaging with regulators, academics, industry groups, and civil society on responsible AI norms.

Own positioning, messaging, competitive intelligence, sales enablement, analyst relations, and go-to-market launches for Nadia, Valence’s enterprise AI coaching platform. Partner with sales, product, and executive leadership to sharpen enterprise messaging, improve deal execution, and build scalable marketing systems. The role requires translating complex AI products into compelling materials for CHROs and senior enterprise buyers while establishing the company’s first dedicated product marketing function.

Owns Azure-based AI platform infrastructure, deployment automation, CI/CD pipelines, testing, observability, security controls, and release management. Builds containerized, infrastructure-as-code environments; implements monitoring, incident response, disaster recovery, and high availability; optimizes cloud performance and costs; and establishes secure platform engineering standards for AI-enabled applications. Collaborates with architecture, security, infrastructure, and development teams to scale reliable enterprise software delivery.

Supports research, testing, and implementation of AI solutions for business processes, data analysis, and decision-making. Develops AI prototypes and proof-of-concepts, creates reports and dashboards, documents workflows and best practices, and collaborates with stakeholders to gather requirements and feedback. The role provides practical experience with AI tools, analytics, process automation, and cross-functional project delivery.

Summer 2027 intern will collaborate with data scientists and engineers to prototype machine-learning and AI product features. Responsibilities include researching use cases, collecting and creating data, designing architectures, training and evaluating deep neural networks and advanced algorithms, and adapting models for various platforms. The role focuses on applications involving images, video, audio, natural language, and other digital signals, with potential exposure to ML Ops and full-stack development.

Generate qualified meetings through phone, LinkedIn, email, and other outbound channels. Conduct cold discovery, follow up on demo requests, personalize outreach, collaborate with demand generation and account executives, and meet quota. Become proficient in UserGems and use it for prospecting. The role is fully remote with occasional travel for conferences, company events, and off-sites.

The Writer & Storyteller will create compelling editorial content on technology and innovation, collaborate across teams, and edit various formats to enhance thought leadership and audience engagement.

Leads Ipsen’s global omnichannel customer experience strategy across pharmaceutical brands and markets. Responsibilities include developing multi-year digital roadmaps, supporting integrated campaigns, driving AI and technology innovation, monitoring KPIs, ensuring regulatory and data privacy compliance, managing agencies and vendors, optimizing campaigns through analytics, and leading a high-performing digital team. The role partners with commercial, medical, legal, regulatory, marketing, global, and local stakeholders to improve engagement with healthcare professionals, patients, and other key audiences.

Designs, develops, modernizes, deploys, and supports AI-enabled applications and services. Establishes engineering standards for AI-assisted development, implements testing and CI/CD, ensures security, privacy, compliance, and Responsible AI requirements, and monitors application reliability. Collaborates across architecture, security, product, and operations teams, mentors engineers, and evaluates emerging AI technologies, including agentic AI and RAG architectures.

Designs, develops, modernizes, tests, deploys, and supports AI-enabled applications and services. Establishes engineering standards for AI-assisted development, implements CI/CD and observability practices, and ensures security, privacy, compliance, and Responsible AI requirements. Collaborates across architecture, security, product, and operations teams; mentors engineers; evaluates emerging AI technologies; and supports agentic AI and RAG architectures.

Manage enterprise metadata, business glossaries, data catalogs, and end-to-end data lineage for a federal case management modernization program. Configure governance and metadata platforms, integrate data sources and pipelines, establish standards and workflows, monitor metadata quality, support compliant data sharing, develop governance metrics, document procedures, and train data stewards and business users.

Prepares compensation and benefits budgets, forecasts, accruals, journal entries, financial reports, balance sheet reconciliations, headcount reports, and audit support. Coordinates with HR Total Rewards teams, benefits vendors, consultants, and actuaries. Processes benefits invoices, performs ad hoc analytics, supports accounting close under US GAAP, and contributes to process improvement and leadership reporting.

Leads USAA Life Insurance Company's risk management framework across enterprise, operational, model, data, and AI risk. Oversees risk governance, regulatory compliance, risk appetite, controls, operational resilience, and model validation while advising senior leaders. Builds high-performing teams, modernizes and simplifies risk programs, partners across business, Finance, Compliance, and Legal, and ensures alignment with life insurance regulations, NAIC frameworks, solvency requirements, and strategic objectives.

Lead the Artifacts product roadmap for AI-generated deliverables, including executive summaries, insight-generating documents, and interactive experiences. Collaborate with engineering, design, research, customers, and partners to establish evaluation and launch criteria, convert custom deliverables into reusable templates, debug model reasoning failures, identify platform gaps, measure adoption, trust, and quality, and present product strategy to executives.

Designs, develops, and deploys enterprise AI applications using LLMs, agentic frameworks, RAG, fine-tuning, and multi-agent systems. Leads scalable AI platform development, integrates models with enterprise products, establishes evaluation benchmarks, and ensures compliance with architecture, security, risk, governance, and responsible AI standards. Advises leadership, resolves complex technical challenges, develops reusable tools, and mentors engineers while collaborating across engineering, product, architecture, risk, and business teams.

Leads technical strategy and architectural design for complex federal government bids, including RFI and RFP responses. Coordinates solution architects and subject matter experts, integrates technology assets and accelerators, develops technical narratives, creates architectural diagrams, and presents solutions to executives and evaluators. The role uses broad cloud, cybersecurity, data, AI, application development, DevSecOps, and infrastructure expertise to differentiate proposals and improve win rates.

Leads complex, cross-functional technology programs across AI, software, robotics, vehicle hardware, infrastructure, simulation, data, and product. Owns project delivery, improves efficiency, manages risks and dependencies, aligns stakeholders, supports business goals, and drives continuous process improvement. The role requires strong technical understanding, systems thinking, communication, project management, and influence without authority across engineering teams.