Top Artificial Intelligence Jobs

As a Junior Software Engineer, you'll design, develop, and troubleshoot software solutions while gaining experience in an agile team environment.

The Reserve Engineer maintains and services robotic hardware, resolves client hardware failures, and assists with new robot deployments, ensuring excellent customer satisfaction.

Use data exploration, cleaning, modeling, and visualization to turn structured and unstructured IoT and other data into actionable insights. Develop predictive models, algorithms, and visualizations, work directly with clients, and apply ML/AI/NLP techniques to solve problems across public and private sectors.

As a Digital Transformation Specialist, you will assess and enhance organizational operations using digital solutions, collaborate with stakeholders, and develop transformative technology strategies.

As a Data Scientist, you will analyze data, develop predictive models, and apply machine learning techniques to solve complex problems for clients.

Lead a team to develop groundbreaking technology combining NLP, big data, and AI to enhance digital communication and interaction.

This role introduces candidates to sales with training on basic and advanced selling techniques, focusing on lead generation, account management, and understanding the healthcare payments industry.

Provide commercial legal support for Scale's Enterprise business: draft, review, and negotiate master services, licensing, partnership, reseller, vendor, and data processing agreements with Fortune 500 customers; advise sales, product, and engineering on legal risk; drive deal execution; and design policies and processes to manage legal and business risk globally.

Serve as a strategic finance partner leading budgeting, forecasting, financial modeling, performance analysis, and executive reporting. Support quarterly earnings, Board materials, integration initiatives, system improvements, and FP&A team leadership while collaborating across Accounting, Tax, Treasury, HR, and business units.

The Interaction Intelligence Program Manager leads the deployment of AI capabilities in the contact center, overseeing initiatives, technical oversight, and change management with a focus on ethical AI and stakeholder collaboration.

Lead product lifecycle and roadmap for enterprise analytics platform; gather client and internal requirements, prioritize features, drive cross-functional delivery, support sales and services, and enable global teams to deploy high-throughput, streaming and batch software solutions.

Lead design and operation of a centralized AI and data platform for autonomy: define compute strategy, build distributed training and simulation systems, manage multi-modal datasets and MLOps, enable model evaluation, optimization, and deployment to constrained edge and customer environments, and drive platform standardization and broad adoption across programs.

Lead product vision and roadmap for the Hivemind AI Platform to enable training, evaluation, governance, and safe edge deployment of foundation and domain models. Drive MLOps, data/simulation pipelines, synthetic data generation, model governance, and integration with edge hardware. Partner cross-functionally to productionize research, ensure accreditation and safety, and support continuous learning and sovereign AI factory capabilities for mission-critical autonomy.

Lead Martech technology strategy and execution for marketing and loyalty domains. Define AI/ML-driven roadmaps, architect marketing data and activation systems, modernize content and loyalty platforms, manage vendor relationships, and drive operational excellence while coaching and growing technical teams to deliver omnichannel personalization and growth.

Lead and mentor a small trade credit analytics team, oversee day-to-day trade credit operations, drive process improvements and controls, produce reports and insights, collaborate cross-functionally, and support team development and project execution to meet KPIs and SLAs.

Lead enterprise-level strategy and delivery for building design, engineering, data readiness, and AI adoption. Define customer success plans, run workshops, shape consulting offerings, mentor staff, drive change management, and ensure high-quality project delivery and measurable customer value.

The Systems Engineer will design, develop, and deliver products for intelligence missions, collaborating on system integration, data analysis, and providing technical support.

Lead product vision, strategy, and roadmap for Citian's transportation SaaS. Collaborate with engineering, design, data science, and GTM to build AI-driven features, validate solutions with clients, define success metrics, and drive adoption.

The Consulting Engineer will drive optical product sales, collaborate with sales teams, develop technical strategies, present solutions, and influence key customer decisions in a pre-sales role.

As a Software Engineering Co-op, you'll execute projects independently, engage with AI technologies, and collaborate on innovative ICT solutions to develop your engineering skills.

Manage and expand enterprise accounts by driving renewals, upsells, and strategic negotiations. Serve as trusted advisor to executives, design tailored account strategies, lead cross-functional initiatives, and mentor peers to maximize customer value and retention.

Lead the Warehouse Management System product strategy and roadmap, manage WMS subject-matter team, prioritize backlog, drive integrations and releases, engage stakeholders and clients, conduct user and market research, remove delivery roadblocks, and support sales with WMS capabilities to improve warehouse efficiency and scalability.

As a Senior Systems Engineer, lead technical solutions for R&D Automation and Middleware, ensuring product development and collaboration with internal teams.

Designs and conducts statistical analyses for observational and interventional health research, contributes to grant proposals and publications, consults with clinicians, develops analysis plans, and builds an independent externally funded research program while collaborating across multidisciplinary teams.

Lead architecture and roadmap for a multi-agent AI platform, design agent orchestration, context/memory management, and productionize LLM capabilities at enterprise scale. Provide technical leadership, establish test/evaluation frameworks for non-deterministic AI systems, mentor senior engineers, and align cross-functional strategy to deploy secure, highly available agent-driven features.