Top Artificial Intelligence Jobs

Develop full-stack tools and automation for deploying and managing cloud infrastructure. Responsibilities include designing software solutions, collaborating with business partners, developing architecture and automation strategies, reporting on projects, and providing technical leadership. The role requires React and Go development, API integration, CI/CD, automated testing, version control, security-focused coding, troubleshooting, documentation, and applying AI technologies to improve workflows and decision-making.

MBA intern supporting technology strategy and business transformation consulting engagements. Responsibilities include analyzing client operations and technology environments, conducting interviews and research, evaluating ERP and digital solutions, developing transformation roadmaps and business cases, assessing AI and automation opportunities, preparing client deliverables, and supporting project execution and practice development.

Supports technology strategy and business transformation consulting engagements for middle-market and private equity-backed clients. Responsibilities include analyzing operations and technology environments, participating in client workshops, evaluating ERP and digital solutions, developing transformation roadmaps and business cases, researching AI and automation opportunities, preparing presentations, and supporting project execution. The role is designed for MBA students or professionals transitioning into consulting with relevant technology, transformation, or business experience.

Leads firmwide legal innovation and AI initiatives, identifying opportunities, evaluating emerging technologies and vendors, managing pilots, and driving adoption across practice groups. Oversees change management, communications, training, reporting dashboards, and performance metrics. Partners with attorneys, leadership, Marketing, Business Development, and Information Security on client-facing AI strategy and innovation efforts.

Develop machine-learning, statistical, and physics-informed calibration algorithms for semiconductor electron-optical inspection and metrology systems. Responsibilities include modeling system behavior, detecting drift and anomalies, optimizing calibration sequences, analyzing engineering data, designing experiments, validating algorithms against hardware measurements, and deploying solutions with cross-functional engineering teams.

Owns the Duolingo English Test proctoring quality standard, calibration and adjudication programs, certification, ongoing adult learning, and quality measurement. The role develops rubrics, training, decision guidance, and audit-ready processes; analyzes disagreement and performance data; directs specialists and adjudicators; and partners with Psychometrics, Security, Operations, Product, and Engineering to validate human and AI-assisted workflows.

Leads enterprise AI platform strategy, architecture, engineering, governance, and operations across machine learning, generative AI, agents, data, and business intelligence. Owns platform standards, reusable services, lifecycle management, security, compliance, reliability, vendor commitments, budgets, and consumption. Directs production-scale AI enablement, establishes responsible AI controls, and manages engineering teams, staffing, operating plans, and executive stakeholder alignment.

Drives revenue growth by selling hybrid infrastructure services and solutions to public-sector, aerospace, and defense customers. Manages the full sales lifecycle, develops account strategies, builds customer and partner relationships, designs technical solutions, prepares BOMs and SOWs, and forecasts pipeline activity in Salesforce. Provides data-center expertise across VMware, HPE, Dell, and Cisco, mentors junior executives, supports industry events, and coordinates internal teams to achieve sales and profitability targets.

Drives revenue growth by selling hybrid infrastructure services and solutions to public sector, aerospace, and defense customers. Manages the full sales lifecycle, including account planning, business development, consultative selling, technical solution design, BOM and SOW development, opportunity management, forecasting, and closing. Builds executive and partner relationships, applies data center expertise across VMware, HPE, Dell, and Cisco, mentors junior team members, and represents the company at industry events.

Leads engineering teams building AI-native ITOM Discovery products. Owns technical strategy, architecture, delivery, reliability, hiring, coaching, and organizational development. Diagnoses architecture, UX, data, cost, and feedback-loop issues; establishes engineering standards and reusable patterns; and collaborates with Product, Design, Security, Operations, Sales, and Customer Success to align roadmaps, releases, compliance, and customer value.

Design and operate production software supporting scientific data and wet-lab workflows. Own compound registration, experimental data ingestion, validation, transformation, publishing, APIs, data pipelines, and integrations with scientific platforms. Partner with scientists to translate ambiguous research operations into scalable technical solutions. Establish architecture, testing, monitoring, CI/CD, deployment, documentation, and operational practices for reliable cloud-native systems.

Lead research and development of large-scale AI models for autonomous driving, including perception, reasoning, prediction, planning, and physical-world interaction. Develop multimodal models using camera, radar, maps, vehicle state, and language data; create scalable training and continuous-learning systems; evaluate research through simulation and real-world vehicle testing; and guide deployment into Nissan’s autonomy platform. Mentor researchers, lead technical roadmaps, present findings, and translate innovations into publications, patents, and production systems.

Build and deploy LLM-powered agents for enterprise clients, including scoping workflows, writing Microsoft 365 and business-system connectors, configuring secure tenant deployments, measuring adoption and outcomes, training users, and handing solutions into maintenance. The role requires client-facing collaboration, production-grade coding, governance documentation, and delivery within fixed-fee engagements. Engineers may use TypeScript, Python, Microsoft Graph, SharePoint, Teams, Outlook, MCP, Claude, ChatGPT, or Copilot.

Build and operate AI-native applications and agentic systems end to end, from stakeholder discovery and prototyping through deployment, adoption, and ongoing iteration. Design retrieval, context, tool integrations, orchestration, evaluation, observability, and cost controls. Develop scalable event-driven systems, collaborate with platform and product teams, document solutions, train users, and mentor less experienced engineers.

Build and deploy enterprise AI applications on Snowflake, including copilots, RAG systems, semantic search, AI agents, and intelligent workflows. Explore enterprise data, develop scalable APIs and pipelines, evaluate and monitor AI quality, implement responsible AI controls, and translate business challenges into production-ready solutions. Partner with technical and executive stakeholders to establish AI architecture standards and deliver measurable business value.

Own an AI enablement project from problem framing through execution and measurement. Structure ambiguous business problems, align cross-functional stakeholders, conduct quantitative and qualitative analysis, develop recommendations, and support AI adoption across enterprise workflows, reporting, decision support, knowledge management, and productivity. Translate emerging AI capabilities and limitations into practical business change, communicate with senior executives, and create repeatable playbooks for measurable AI value.

Designs and delivers customer-facing AI solutions from discovery and proof of concept through deployment. Responsibilities include solution architecture, LLM/RAG/agent implementation, API and data pipeline integration, model deployment and monitoring, troubleshooting, technical training, and post-deployment support. The role evaluates business impact, coordinates cross-functional delivery, and helps establish implementation processes for scalable customer deployments.

Leads technical integration for defense software capabilities, translating operational needs into requirements, user stories, interfaces, and development priorities. Coordinates integration across software, systems, data, infrastructure, cybersecurity, identity, and deployment environments. Evaluates architecture, resolves cross-system dependencies, supports Agile reviews and testing, and applies API-first, modular, and open architecture principles. Collaborates with operational, acquisition, product, engineering, and government stakeholders in support of Joint Fires Network and CDAO missions.

Own Platform Services’ operating rhythm, planning, metrics, and cross-functional initiatives. Lead quarterly planning, capacity modeling, documentation, workflow improvements, and Advisor Success support. Identify repetitive work and use AI, automation, data, and process redesign to improve efficiency and scale. Build analyses and reporting to guide prioritization, resourcing, and operational decisions in a fast-growing environment.

Reviews AI-generated marketing and business content in Spanish and English, edits and corrects responses, and provides structured feedback to improve AI tools. Requires strong written communication, critical thinking, reading comprehension, attention to detail, and the ability to work independently with web platforms and basic technical troubleshooting. This is a remote, part-time W-2 role requiring 20 hours weekly, with paid training and flexible scheduling.

Evaluate AI-generated marketing and business content, edit and refine responses, and provide structured feedback to improve AI tools. The role requires strong Brazilian Portuguese and English writing skills, critical thinking, reading comprehension, attention to detail, and independent problem-solving. Annotators work remotely for 20 hours per week, with flexible scheduling after onboarding. Full training is provided.

Provides operational support across client advisory, service, compliance, investments, and accounting teams. Manages client paperwork, supports quarter-end processes, resolves operational issues, and improves onboarding and documentation workflows. The role will develop expertise in Tamarac Reporting and Practifi CRM while using Excel, SQL, Claude, and automation tools to streamline processes and build AI-enabled workflows with appropriate quality controls.

Corporate Counsel will advise on technology transactions supporting Real Estate and Global Sourcing. Responsibilities include drafting and negotiating SaaS, AI, developer, vendor, and other technology agreements; advising internal stakeholders on legal risks; partnering with legal, procurement, and operations teams globally; and supporting litigation management, outside counsel, and strategic legal initiatives.

Provides technical leadership and hands-on engineering for Epic’s AI-powered developer platforms, including code review systems, cloud agent hosting, knowledge bases, and developer tools. Establishes AI frameworks, agent architectures, security and governance standards, and scalable service patterns across CLI, desktop, web, build integrations, APIs, and microservices. Mentors engineers, leads architecture decisions, defines success metrics, and owns zero-to-one platform development and operations at scale.

Provides technical leadership and architectural direction for production-grade AI developer tools and platforms used across Epic. Designs scalable CLI, desktop, web, API, and service-based systems; establishes AI agent and framework standards; implements security, governance, identity, secret management, and runtime isolation; defines success metrics; partners with leadership; and mentors engineers while remaining hands-on with development, testing, deployment, and operations.