Top Artificial Intelligence Jobs

Leads global revenue operations, go-to-market strategy, sales enablement, AI-driven analytics, forecasting, and cross-functional business optimization. Partners with Finance and executive stakeholders to improve revenue growth, operational efficiency, resource allocation, and customer outcomes. Oversees global teams, digital transformation, compliance, and scalable SaaS processes while fostering accountability and continuous improvement.

Leads enterprise technology strategy, delivery, and transformation across Finance, FinTech, Legal, and Risk. Oversees product platforms, Agile and DevOps adoption, AI and data initiatives, digital transformation, change management, vendor partnerships, governance, and technology operations. Partners with executive stakeholders to align global priorities, integrate platforms, manage dependencies, and deliver scalable, secure, value-driven outcomes across a federated enterprise technology organization.

Supports semiconductor process engineering, Real-Time Defect Analysis, and metrology activities in a memory manufacturing fab. Responsibilities include data collection and analysis, SEM and defect review support, measurement and equipment workflows, documentation, request tracking, and process improvement. The intern will collaborate with engineers and technicians and complete an AI-focused project involving RDA, metrology, automation, data analysis, or recipe workflows before presenting findings.

Full-time summer intern supporting AI-enabled biometrics and clinical data solutions. Responsibilities include developing and evaluating machine learning, LLM, and agentic workflows; building scalable pipelines integrating clinical and statistical datasets; creating visualizations and analytical applications; automating statistical programming and clinical data lifecycle processes; and contributing to validation, documentation, traceability, and compliant deployment. The intern will collaborate with statisticians, programmers, data scientists, and clinical development teams.

Owns enterprise AI assistant platforms, including administration, user access, licensing, support, adoption, cost management, reporting, release evaluation, governance, and risk coordination. The role configures and supports tools such as Microsoft 365 Copilot, Claude, Gemini, and ChatGPT Enterprise; evaluates connectors, plug-ins, and agents; develops training and documentation; monitors usage and costs; and partners with IT, cybersecurity, identity, legal, procurement, and vendors.

Build and manage strategic partnerships and sales opportunities across the AI ecosystem. Own the full enterprise sales cycle, from prospecting and discovery through solution development, negotiation, and close. Collaborate with delivery stakeholders to assess feasibility, align expectations, and ensure successful engagements. Develop repeatable partnerships, improve pipeline and forecasting processes, and provide market insights that shape the growth strategy for the AI Training business.

Owns enterprise AI assistant platforms, including administration, access, licensing, support, adoption, reporting, cost management, release evaluation, and governance coordination. The role manages platforms such as Microsoft 365 Copilot, Claude, Gemini, and ChatGPT Enterprise; evaluates connectors, plug-ins, and agents; develops training and documentation; supports identity integration; and partners with cybersecurity, legal, procurement, finance, and vendors to ensure secure, controlled, and effective enterprise adoption.

Manage technical execution roadmaps, hardware platform development, integration, manufacturing scale-up, schedules, milestones, resources, risks, and cross-functional dependencies. Partner with hardware, software, systems, and operations teams to deliver autonomous vehicle programs on time and safely. Communicate priorities and tradeoffs, resolve blockers, improve manufacturing productivity, and maintain technical understanding of autonomous vehicle platforms, hardware lifecycles, safety processes, and testing operations.

Leads the transformation of Python full-stack engineering teams into an AI-native delivery model. Defines strategy, tooling, workflows, governance, quality gates, training, and adoption metrics for integrating AI agents and coding assistants across the SDLC. Establishes an AI engineering center of excellence, oversees secure and compliant AI-generated code practices, and partners with engineering, security, delivery, and client stakeholders to scale AI-assisted software development.

Leads internal and external protein sciences activities supporting therapeutic protein and antibody-oligonucleotide conjugate programs. Oversees protein production, purification, conjugation, characterization, and analytical capabilities; manages and mentors a small scientific team; partners with CROs and cross-functional discovery, development, CMC, and manufacturing groups; and advances candidates toward development. The role also introduces new laboratory techniques, troubleshoots complex technical challenges, and applies AI and large language models to scientific workflows.

Build and operate scalable AI platform infrastructure enabling secure, reliable access to foundation models and AI agents. Responsibilities include developing model gateways, provider integrations, routing, usage controls, observability, governance, and self-service platform capabilities. The role involves architecting distributed systems, improving reliability and security, collaborating across engineering and product teams, mentoring engineers, and establishing high-quality engineering practices.

Build and test AI tools that interact with databases, including query, create, update, and delete functions. Design safeguards such as permissions, input validation, confirmation steps, and development-environment testing. Document tool behavior and data access, follow donor and participant data-handling rules, and identify improvements to the organization’s AI tooling. This fully remote internship provides mentorship and practical experience in AI engineering, API design, database operations, access control, and testing.

Owns enterprise AI assistant platforms, including administration, user access, licensing, support, adoption, reporting, cost management, release evaluation, connector and agent governance, and security coordination. The role partners across IT, identity, cybersecurity, data, legal, procurement, and vendors to operate secure, supportable AI services. It also delivers training, documentation, leadership briefings, usage analysis, and controlled pilots and rollouts.

Leads the division’s AI and digital strategy, prioritizes use cases, builds business cases, and oversees development and deployment of AI/ML solutions. Establishes responsible AI governance, data and model standards, KPIs, and scalable project practices. Partners across R&D, IT, manufacturing, finance, legal, and supply chain to drive adoption, change management, talent development, and measurable business value.

Designs, develops, deploys, and maintains AI, machine learning, NLP, deep learning, and generative AI solutions for disability insurance and claims use cases. Responsibilities span problem framing, data preparation, feature engineering, modeling, validation, MLOps, monitoring, retraining, document intelligence, RAG, model governance, explainability, bias detection, and stakeholder communication.

Owns high-priority revenue growth initiatives across funnel performance, multi-product expansion, go-to-market channels, customer journey optimization, AI adoption, and agentic workflow automation. Partners with Product, Marketing, Sales, Customer Success, Support, Finance, Data, and GTM Engineering to improve conversion, retention, channel development, and operational efficiency. This senior individual contributor influences executive decisions and drives measurable outcomes without formal authority.

Lead the architecture and scaling of enterprise parsing and document preprocessing systems for AI agents and LLM applications. Design pipelines for ingesting, validating, segmenting, and indexing unstructured data; evaluate OCR and multimodal processing technologies; define semantic schemas, chunking, metadata, retrieval, and vector database strategies; and implement secure access controls, lineage tracking, and PII/PHI filtering in collaboration with governance, security, and compliance teams.

Drive new business and revenue growth for employee benefits solutions by building pipelines, acquiring clients, managing relationships, meeting sales quotas, and identifying upsell opportunities. Use CRM, analytics, predictive insights, and AI tools to prioritize prospects, manage sales cadences, forecast revenue, conduct market research, and develop tailored proposals with service and marketing teams.

Leads technical foresight on how AI and emerging technologies may reshape global finance. Assesses AI capabilities, architectures, scaling, constraints, governance, failure modes, and systemic risks; translates findings into scenarios, hypotheses, briefings, research priorities, and thought leadership. Partners with research, standards, advocacy, and industry stakeholders to stress-test assumptions and evaluate technology’s implications for investment workflows, institutions, markets, professional roles, and standards.

Own strategic advertiser relationships and revenue targets for Samba’s advertising, measurement, and research solutions. Responsibilities include prospecting, pipeline management, forecasting, complex negotiations, closing, business reviews, annual planning, agency collaboration, and quota attainment. The role sells audience targeting, attribution, measurement, and research products to senior brand marketing and media leaders, while partnering with internal consulting, account management, product, and measurement teams. It also involves client travel, industry events, thought leadership, and mentoring account executives.

Prepare and manage high-volume Simplified Acquisition Procedure packages from initiation through completion. Coordinate with technical SMEs to develop SOWs, PWSs, RFQs, price reasonableness determinations, and sole-source justifications. Research FAR Part 13 and applicable acquisition regulations, conduct market research, identify vendors, and ensure compliance. Use authorized AI tools to improve drafting and data organization, while providing acquisition status updates to technical teams and senior business personnel.

Leads an enterprise data engineering team building scalable data platforms, pipelines, and AI-ready data products. Provides hands-on technical guidance, architecture input, process improvement, team mentoring, and people leadership. Develops semantic models and enterprise semantic layers enriched with metadata and business context. Partners with IT and business data teams to enable self-service data development while maintaining data quality, governance, and secure access.

Lead implementation, optimization, and management of telehealth services across the health center. Oversee remote clinicians, design telehealth policies and workflows, integrate EHR/AI solutions, ensure billing and compliance, evaluate program effectiveness with data, maintain a clinical practice (0.5 FTE), and collaborate with IT, finance, quality, and executive teams to align strategy and budgets.

Leads enterprise procurement strategy, strategic sourcing, category management, supplier relationships, contract negotiations, governance, risk mitigation, and cost optimization. Partners with Finance and executive stakeholders to deliver savings, improve supplier performance, modernize procurement through analytics, automation, and AI, and oversee procure-to-pay processes. Requires strong commercial, financial, negotiation, change management, and executive influencing skills.

Reviews and transfers client data during attorney departures, protecting client privilege, firm proprietary information, and intellectual property. Uses Relativity, eDiscovery, data management, artificial intelligence, and analytics tools to prepare, search, review, code, and automate document workflows. Develops transfer protocols, documents review processes, researches emerging technologies, maintains quality, and manages transition timelines and communications.