Top Artificial Intelligence Jobs

Learn and perform title and escrow transaction duties while using AI tools to improve workflows. Investigate operational problems, validate AI outputs, coordinate documents and deadlines, partner with product and engineering teams, build or modify automations, document improvements, and support adoption. The role requires careful handling of sensitive information, sound judgment, strong communication, and ownership through resolution.

Leads the architecture, integration, and technical direction of an enterprise physical security technology ecosystem. Manages the Solutions Engineering portfolio from intake through completion, including project prioritization, resource allocation, technology selection, automation, upgrades, troubleshooting, documentation, and stakeholder communication. Provides expertise across access control, video security, visitor management, analytics, enterprise integrations, and security data workflows while mentoring engineers and managing technical and operational risks.

Designs and guides production AI solutions, including copilots, assistants, RAG systems, agent workflows, APIs, and enterprise integrations. Partners with platform, product, data, security, and risk teams to establish architecture, governance, responsible AI practices, and scalable engineering standards. Advises stakeholders, reviews designs and code, mentors engineers, and translates ambiguous business needs into secure, maintainable solutions using Python, Azure, Databricks, and related technologies.

Drive revenue through a strategic global cloud partnership and support enterprise sales opportunities across APAC. Partner with account executives to shape and accelerate complex deals using cloud marketplaces, co-sell programs, and partner funding. Build relationships with partner organizations, prospect for new business, expand existing accounts, and develop consultative strategies aligning customer goals with HERE and partner solutions. Serve as a trusted advisor to sales teams and influence multi-stakeholder enterprise opportunities.

Build rapidly delivered, production-ready AI application prototypes across backend, APIs, data pipelines, frontend, and cloud infrastructure. Integrate LLMs, foundation models, RAG, vector databases, agentic workflows, and prompt engineering into applications. Deploy scalable solutions using AWS, serverless architectures, containers, Kubernetes, and infrastructure as code. Use AI coding assistants to accelerate development, create reusable tooling, and independently iterate from concept to demonstration.

Supports commercial property underwriting operations by documenting workflows, analyzing bottlenecks and data quality issues, maintaining reports and spreadsheets, and assisting with an AI-based submission intake solution. Collaborates with underwriting, product, technology, and actuarial teams on process improvements, issue tracking, workflow optimization, and recommendations that reduce manual work and improve underwriting capacity.

Manage the operational health, adoption, and continuous improvement of KLA’s IDeliver platform and customer-facing business processes. Coordinate Tier II issue intake, assignment, tracking, dashboards, escalations, and stakeholder reviews across global teams. Lead cross-functional initiatives, monitor KPIs, track milestones and risks, support roadmap planning, improve workflows, and recommend automation and AI-enabled capabilities. Develop governance, documentation, communications, training, and executive updates while driving process standardization and customer experience improvements.

Analyzes business and system issues, gathers requirements, coordinates solutions with IT, and supports system and process improvements. Builds Excel and Power BI reports, identifies automation and AI opportunities, and leads training design, delivery, LMS administration, onboarding, and development programs. Performs training needs assessments, evaluates effectiveness, mentors employees, and partners with cross-functional leadership to improve customer experience and organizational performance.

Owns paid-social video ads from concept through final delivery for B2B, corporate, and D2C brands. Responsibilities include developing hooks, generating AI visuals, editing, pacing, sound, captions, static ad support, and platform-specific formatting for Meta, TikTok, YouTube, and LinkedIn. Uses performance data and feedback to refine creative variations while collaborating with growth and creative teams. The role requires independent end-to-end ad production across styles including photorealistic AI humans, claymation, animation, and mixed media.

Leads the AI vision, roadmap, governance, and value realization strategy for Sales, Customer Success, Professional Services, and Partnerships. Prioritizes use cases, directs build-versus-buy decisions, delivers AI solutions with Engineering, drives adoption, and measures business impact. Establishes responsible AI controls, data standards, operating processes, and executive reporting while leading product managers and business analysts.

Leads multiple engineering teams and enterprise technology transformation initiatives while remaining technically engaged. Designs and delivers AI, generative AI, intelligent automation, distributed systems, enterprise integrations, and Java-based applications using Spring technologies. Establishes API governance, event-driven architectures, security integrations, containerized deployments, and Agile delivery practices. Oversees AI/ML pipelines, LLM and RAG solutions, conversational AI, automation optimization, responsible AI governance, release management, and operational excellence.

Design, develop, and deploy production AI, machine learning, and generative AI systems. Build training, evaluation, and inference data pipelines; implement Python algorithms; operationalize models through MLOps, CI/CD, and containerization; and develop APIs and microservices. Optimize models for accuracy, latency, and scalability while ensuring AI governance, documentation, compliance, and ethical standards.

Build and ship production AI-enabled product capabilities for transportation agencies. Partner with product, design, customer success, and data science to identify valuable AI applications, develop full-stack features, and integrate models into existing systems. Design LLM evaluations, ensure correctness, grounding, authorization, traceability, customer isolation, and prompt-injection protection. Own production reliability, latency, cost, monitoring, incident response, and continuous improvement across AI features.

Develops and deploys complex Generative AI and machine learning solutions across HP projects. Responsibilities include building and monitoring models, defining performance metrics, identifying business insights, collaborating with stakeholders, creating visualizations, ensuring scalable implementation, and leading data science project teams. The role also provides technical guidance, training, and mentoring while working with large language models, multimodal models, RAG, vector databases, and cloud or edge deployments.

Lead analytics strategy across eCommerce, content, advertising, and live events. Partner with executives to turn complex data into actionable business recommendations, identify opportunities and risks, shape the analytics roadmap, and guide data investments. Manage and develop a team of three analysts while using AI, automation, scripting, statistical analysis, and BI tools to accelerate decision-making and improve business outcomes.

Leads technology and product strategy for IQVIA’s Specialty Labs portfolio supporting genomics, bioanalysis, vaccines, biomarkers, discovery, and clinical trials. Oversees laboratory platforms, scientific systems, data, analytics, AI, integrations, modernization, investment planning, process transformation, validated operations, acquisitions, and organizational capability. Partners with executive, scientific, operational, and client stakeholders to deliver scalable, compliant, high-performing technology products and platforms while managing budgets, roadmaps, adoption, lifecycle management, and globally distributed leadership teams.

The Applied AI Analyst translates business needs into testable requirements for AI and data solutions, coordinates user acceptance testing and deployments, and drives adoption. The role coaches teams to build AI agents using Microsoft Copilot and governed Microsoft Fabric data, creates prototypes and enablement materials, identifies valuable automation opportunities, and promotes responsible AI use. It bridges business stakeholders and engineering teams while maintaining solution documentation and supporting multiple concurrent initiatives.

Supports AI-enabled solutions, data applications, automation, programming, and digital workplace projects within Clinical and Statistical Programming. Responsibilities may include developing intelligent agents, preparing and evaluating data, enhancing SharePoint portals, configuring Power Automate workflows, creating Power BI dashboards, managing content and permissions, testing solutions, documenting processes, and presenting project outcomes. The internship is hybrid and runs full time from May through August 2027.

An 11-week in-person technology internship offering placements in software engineering, cloud and DevOps, data engineering, AI and machine learning, enterprise applications, platform engineering, or automation. Interns will contribute to real-world projects such as application development, data pipelines, process automation, cloud infrastructure, and AI solutions while participating in professional development and leadership sessions.

Lead end-to-end product design for Axtria’s web and mobile SaaS products, transforming complex life sciences commercial workflows into intuitive experiences. Partner with product managers, engineers, and designers; design AI-agent interactions, data visualizations, and scalable design systems; conduct problem framing and solution development; present rationale to stakeholders; and deliver high-quality designs from concept through launch.

Designs and delivers secure, scalable Azure infrastructure and cloud solutions for customers. Leads architecture sessions, migration and modernization initiatives, AI workload enablement, proofs of concept, and production milestones. Partners with technical and sales teams, resolves blockers, improves resiliency and performance, develops repeatable solutions, and drives customer adoption and business value. Requires strong customer-facing consulting, cloud architecture, technical project, and certification experience.

Lead shift-based thin films process development and wafer flow, manage and mentor engineers, partner with process/integration/equipment teams, ensure data quality and resolve yield/defect issues, and drive operational improvements using data science and AI-enabled approaches.

Develops, optimizes, installs, qualifies, and sustains wet process equipment for advanced DRAM manufacturing. Partners with vendors, R&D, process engineering, and manufacturing teams to resolve hardware issues, complete tool upgrades, analyze performance data, and transfer processes into high-volume production. The role requires hands-on semiconductor equipment expertise, problem-solving, data analysis, and experience with spin clean and drying systems.

Leads the development and scaling of reusable AI-powered content capabilities for Microsoft marketing teams. Responsibilities include prototyping AI skills and agents, defining evaluation frameworks, translating marketer needs into technical requirements, shaping architecture and integrations with Engineering and Design, codifying best practices, and driving continuous improvement through performance, quality, usage, and business outcome measurements.

Leads Sandoz North America's AI strategy, transformation, adoption, and governance. Develops the AI roadmap, prioritizes and manages a portfolio of initiatives, identifies high-value use cases, tracks business value, and drives cross-functional implementation. Builds AI literacy through training and change management, partners with IT and business leaders to deliver scalable solutions, and ensures compliance with cybersecurity, privacy, responsible AI, and governance standards.