Top Artificial Intelligence Jobs

The Technical Solutions Engineer resolves customer issues, troubleshoots complex network environments, and collaborates with engineering teams to ensure customer satisfaction.

The Solutions Architect will implement ERP projects focusing on NetSuite integration, optimize functionalities, and ensure system reliability while collaborating with stakeholders.

Design, develop, test, deploy, and maintain backend services and data pipelines. Ensure technical and product excellence, performance, and engineering best practices. Collaborate across global teams, drive projects, and contribute to large-scale system design and distributed computing challenges.

Lead and grow the Audit & Assurance practice by managing complex audit engagements, mentoring staff, driving process and technology innovation (AI/automation/analytics), expanding cross-selling across service lines, and developing client relationships with entrepreneurially driven businesses toward partnership.

The Smart Manufacturing Execution Lead executes smart manufacturing strategies across the global supply chain, focusing on data value through Industry 4.0 capabilities and partnerships to enhance productivity and delivery.

Lead complex engineering projects focusing on safety and collaboration. Manage costs, schedules, and project documentation while ensuring teams communicate effectively. Participate in training and develop innovative solutions for automation and engineering systems.

The successful candidate will establish a funded research program, teach, mentor students, and contribute to departmental activities and community science.

The Associate Director will manage initiatives for data journalism, oversee student projects, incorporate AI into reporting, and teach courses.

The Division Director will lead the Intelligent Human-Machine Systems Division, focusing on enhancing decision-making and performance through AI and human-machine collaboration. Responsibilities include managing research programs, providing technical leadership, and fostering partnerships with government stakeholders.

Manage a substantial portfolio of commercial, tort, regulatory, and consumer-protection litigation. Lead strategy, oversee outside counsel and paralegals, manage litigation budgets, investigate agency actions and pre-litigation claims, advise business leaders on risk mitigation, maintain legal/regulatory knowledge, prepare executive litigation reports, and develop training to support compliance and dispute resolution.

The Senior Product Owner leads product development for Mainframe solutions at Broadcom, collaborating with cross-functional teams to deliver features based on customer needs and product roadmaps.

The Senior Solutions Engineer collaborates with sales teams to deliver technical presentations, assess customer needs, and provide identity security solutions. Responsibilities include mentoring others, resolving queries, and driving opportunities to closure while managing domestic travel.

Lead the development and implementation of machine learning solutions, managing a team to drive strategic decisions and innovative business outcomes.

Senior Data Scientist designs and implements AI/ML and automation solutions for JIOC intelligence operations. Responsibilities include statistical modeling, predictive analytics, multi-source data integration, exploratory analysis, data visualization, production deployment, and collaboration with analysts to deliver operationally relevant insights that support warfighting functions.

Lead the architecture, build, and deployment of AI-driven automation and intelligent systems to solve security, compliance, and risk challenges. Develop real-time intelligence, workflow automation, and risk-based decision-making tools, and engage customers and partners to refine and deploy production-grade solutions.

Provide transactional legal support for commercial and technology-related vendor agreements (including SaaS and digital marketing), draft and negotiate contracts, advise on data/privacy/IP issues, collaborate with cross-functional teams, support third-party risk management, and develop templates and playbooks to streamline contract processes.

Lead global pricing strategy and modernization for wholesale and specialty insurance, driving analytics, AI/ML integration, pricing model governance, catastrophe and transaction-level pricing support, and talent development to improve underwriting performance and return on capital.

Work with attorneys, inventors, and clients to identify patentable inventions, draft patent applications and claims, prepare technical illustrations, review prior art, assist with prosecution and examiner interactions, and analyze competitor IP to support portfolio management.

Lead portfolio governance and program management for Finance transformation and AI initiatives. Drive prioritization, milestone tracking, dependency and risk management, benefits tracking, stakeholder coordination, and executive reporting across 30+ programs to ensure delivery readiness and measurable outcomes.

Build and improve state-of-the-art agent systems: design RL/RLHF learning pipelines, create custom environments, set up robust evaluation, train smaller task-specific models, leverage open-source text and image models, and help shape technical and hiring strategy alongside founders.

12-16 week internship implementing and optimizing GPU/accelerator kernels and custom operators, profiling and improving LLM inference and runtime performance, building benchmarks, fixing regressions, and shipping code to production or open-source AI infra projects.

Develop and apply data science methods (data cleaning, pipelines, exploration, visualization) and predictive models to extract insights from structured and unstructured data. Work with clients to define questions, build algorithms and systems using ML/AI/NLP techniques, and deliver actionable data-driven recommendations.

Build and own backend services for underwriting and AI risk monitoring platforms. Implement end-to-end features across Next.js/React, Node.js/TypeScript, Python and Postgres. Design scalable, observable systems, mentor peers, collaborate with product, data science, and founders, and participate in in-person rapid prototyping and roadmap planning.

Design and build a production multi-agent LLM framework and LLM-powered pipelines (text-to-SQL, NLU, structured reasoning). Implement RAG, prompt systems, evaluation and CI/CD for AI features, instrument and optimize model performance, and collaborate with product to deliver user-facing capabilities.

In this role, you will lead the development of Python-based AI applications, optimizing data ingestion, collaborating with business stakeholders, and mentoring developers.