Top Artificial Intelligence Jobs

The Reserve Engineer handles hardware issues, provides customer service, assists with robot deployments, and ensures functionality at client sites.

Develop and implement automation and technological solutions for production equipment in aerospace manufacturing, focusing on safety, process control, and productivity improvements.

Lead and execute the joint GTM strategy with Databricks: define joint business plans, build sales motions and enablement assets, drive regional execution with sales leaders, manage senior stakeholder relationships, and support strategic customer pursuits to grow Celonis' cloud and AI partnerships.

Support privacy governance and regulatory compliance across the Americas by advising business units, managing privacy risk, conducting privacy impact assessments, maintaining records of processing activities, coordinating incident and forensic responses, developing policies and training, and working with Legal and Compliance to implement privacy controls for new technologies.

The Senior Engineer will develop advanced robotics and autonomous systems, mentor team members, prototype systems, and lead strategic research initiatives, fostering collaboration across various teams and partners.

Provide senior commercial legal counsel for Allstate's non-insurance businesses: draft, structure, and negotiate complex technology, data, and service agreements; advise on privacy, AI, and related legal risks; develop templates and playbooks; collaborate with sales, compliance, and cross-functional teams; lead process improvements and mentor team members. Remote role with supervisory duties and periodic travel.

The AI School Leader will create a next-generation school model integrating rigorous academics and responsible AI, ensuring operational success, and fostering a strong school culture while leading a high-performing team.

The OCV Catalyst Program supports open source maintainers with mentorship and resources for project growth. Eight projects will be accepted.

The Senior Scientist will develop in-silico platforms for protein engineering, lead technical teams, and collaborate with other scientists while implementing computational workflows.

The Senior Expert will oversee research projects in Tech & Innovation, ensuring editorial quality and managing client relationships. They will design programs and produce thought leadership content, focusing on AI and frontier technologies, while also contributing to business development and mentoring team members.

Lead design and delivery of standardized, governed financial datasets and Databricks models as a single source of truth. Modernize dashboarding with Sigma Computing and Power BI, translate FP&A requirements into self-service reporting, optimize ETL and semantic models connecting SAP ERP to Databricks, ensure AI‑ready data and governance, drive automation and finance transformation initiatives, and hire and lead a solutions design team.

The Marketing Specialist will manage marketing communications, conduct market research, optimize programs, develop content, and track marketing project efficiency.

Lead day-to-day administration and operations of the OPRA Plan, serve as Managing Director and primary regulatory/contact point, manage onboarding and strategic relationships, chair governance meetings, and oversee AP/AR/GL team functions for market data and derivatives operations.

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.