Top Artificial Intelligence Jobs

Maintain and repair plant electrical and electronic manufacturing equipment, ensure NEC compliance, perform PMs, troubleshoot PLCs and wiring, read blueprints, use test equipment, fabricate parts, support installation, and share on-call electrical coverage.

Tenure-track Assistant Professor to teach and advise undergraduate and graduate courses across computer information science, data science, and AI fields; engage in research, curriculum design, student mentorship, committee service, and pursue funding. Expected to deliver face-to-face, hybrid, and online instruction, support student recruitment and retention, and use active, project-based pedagogies.

Lead multi-year strategy and delivery for Licensing Financial and AI ecosystems within Disney Consumer Products. Architect roadmaps, drive executive alignment, oversee end-to-end product development, prioritize portfolios, and manage global change adoption for AI/LLM-driven automation and integrated finance systems.

The Research Engineer will design and conduct experiments at the intersection of manufacturing and AI, developing workflows and integrated systems to enhance manufacturing processes and technologies.

Perform internal assurance and consulting reviews to evaluate risk management, controls, and governance. Use audit evidence and root-cause analysis to identify risks and recommend process/control improvements. Support external audits and regulatory exams, assist with audit planning, control certification, system reviews, automation initiatives, and mentor junior auditors at advanced levels.

Drive growth across U.S. Navy accounts by developing strategic account plans, building executive relationships, qualifying and shaping large opportunities, and coordinating capture, proposal, and delivery teams to win complex IT, cyber, cloud, data, and modernization contracts.

Design, create, and implement AI and ML systems for Defense and Intelligence sectors, ensuring scalability and integration into various environments.

Lead design, build, and operate scalable observability systems for distributed cloud and on-vehicle environments. Contribute code and reviews, create technical designs, build tooling to collect observability signals, run PoCs for new tools, partner with engineering teams, define SLIs/SLOs, guide roadmap decisions, and mentor engineers to improve developer productivity and reliability.

Manage day-to-day relationships with cloud and AI platform partners, execute co-sell motions, maintain marketplace presence, enable sales, implement joint GTM programs, track partner-sourced metrics, and relay partner insights to Product and Marketing.

As Director of Software Engineering, you will lead AI-first platform development, manage engineering teams, define architecture, and ensure quality delivery across projects.

The Senior AI ML Engineer will design and implement AI/ML systems for healthcare, manage projects from ideation to release, and mentor engineers. Responsibilities include delivering quality code, driving architectural decisions, and collaborating with cross-functional teams.

The Principal AI Architect will lead the design and implementation of AI-driven conversational systems, enhancing consumer engagement across various platforms. Responsibilities include architecture design, bot orchestration, context handling, and collaboration with product and engineering teams to develop scalable voice solutions.

The Senior/Staff Backend Engineer will build AI-driven products, optimize performance, collaborate with teams, and establish best practices for Applied AI at Fora.

The Senior/Staff Full Stack Engineer will develop AI-driven products, enhance the advisor portal's functionality, and ensure system reliability using best practices in software and AI development.

Lead AI strategy and emerging systems within Micron by evaluating innovative AI capabilities, architecting solutions, prototyping systems, and overseeing AI governance and value assessments.

The role involves leveraging AI in Product Engineering, driving initiatives, creating AI solutions, mentoring teams, and developing business cases.

The AI/ML Engineer will design, develop, and deploy machine learning algorithms and large language models while collaborating with stakeholders to meet business needs.

Lead commercial growth for AI applications and data connectivity in precision medicine. Close strategic partnerships with biopharma and academic medical centers, expand real-time EHR and device integrations, scale AI diagnostic deployment, build and manage a 20-FTE commercial and connectivity organization, and implement repeatable pipeline and forecasting systems.

The Lead Product Designer will set design direction, collaborate with cross-functional teams, drive user experiences, and mentor team members for impactful design solutions.

As a Generative AI Product Manager, you'll prototype AI solutions, deploy workflows, drive AI adoption, and shape governance standards across the organization.

As an AI Engineer, you will architect AI systems for legal work, lead technical initiatives, and mentor a team while impacting the future of legal technology.

As Lead Auditor for Data and AI at MetLife, you'll assess risks, lead audits, identify issues, and communicate findings on innovative initiatives.

The role involves designing, developing, and supporting AI software components, leveraging various AI technologies, and optimizing performance for large-scale AI systems.

Design and implement AI models for robotic manufacturing, develop simulation tools, and ensure model transfer from simulation to reality while optimizing ML models in production.

The role involves architecting a scalable AI platform, building distributed compute solutions, optimizing technologies, and mentoring internal talent in AI and ML.