Top Artificial Intelligence Jobs

Lead development and operationalization of pricing algorithms to value vehicles, deliver $15-30M/year in incremental value, build and manage a 4-8 person data science team, develop AI/ML models to autonomously price vehicles, run experiments, and implement model monitoring and incident response with cross-functional partners.

Lead development of optimization and AI-driven logistics planning to move millions of vehicles efficiently. Build and manage a team of data scientists, design and implement planning models and software, collaborate cross-functionally, run experiments, and deliver significant cost and service improvements.

Conduct and lead research into AI vulnerabilities and defenses while collaborating with teams to develop operational capabilities and strategies. Mentorship and guidance are fundamental. The role focuses on emerging technologies and securing AI systems.

The Technical Product Owner will collaborate with teams to refine product features, organize the backlog, and support agile practices, focusing on relationship-building.

As a Data Scientist, you'll analyze complex data to extract insights and guide clients' decisions through statistical methods and machine learning techniques while leading teams on missions that require deep data solutions.

Work with clients to formulate questions, explore and clean structured and unstructured data, build predictive models and algorithms, develop automated analytic software and ETL pipelines, and create visualizations and insights to support decision-making in intelligence and commercial contexts.

The Associate Director GLP Quality Assurance ensures compliance with GLP standards in clinical studies, manages vendor audits, and provides quality assurance recommendations. Responsibilities include developing audit plans, conducting audits, and reviewing compliance of CRO study protocols.

Lead media strategy and execution for major consumer and corporate brands, managing a team while delivering strategic media counsel and insights. Develop integrated media strategies, mentor teams, and drive new business initiatives through expert media relations.

Lead product vision, strategy, and roadmap for a mainframe network management product (NetMaster). Work with Product Owner, R&D, architecture, and sales to prioritize features, drive customer validation, enable GTM, measure adoption, and remove cross-team roadblocks. Engage customers through meetings and conferences to inform product decisions.

Analyze and assess malware threats for USCYBERCOM, leading forensic analysis, developing technical reports, and collaborating on threat detection and response.

Citrine Informatics invites applicants to submit resumes for general opportunities. They review applications periodically for potential new roles in AI-driven materials and chemicals.

As a Solution Consultant, you will help Life Sciences companies implement Veeva's Vault Safety platform, driving innovation and streamlining pharmacovigilance processes.

As a Solution Consultant, you will bridge pharmacovigilance challenges with Veeva's solutions, showcase value, build relationships, and innovate processes in the Life Sciences industry.

Manage defense-focused software programs applying AI/ML to fire control and battle management. Oversee technical and operational military projects, coordinate stakeholders, ensure technology transition from research to production, maintain classified data handling, and support mission areas like IAMD and missile defense.

Underwrite and assess multifamily loan packages prior to acquisition, evaluating property, sponsor, and market risks to determine supportable loan sizing. Work with internal and external partners to recommend lending decisions, document negotiated outcomes, and approve issuance. Enhance underwriting skills across diverse multifamily property types.

Own monitoring, testing, and tuning of Inspira's AI virtual agent to improve resolution, deflection, and CSAT. Analyze conversation transcripts and performance data, run A/B and regression tests, adjust retrieval/configuration and intents, partner with Content and IT to fix knowledge gaps, maintain performance dashboards, lead root-cause analysis, and support go-lives for new bot capabilities.

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.

Design, train, deploy, monitor, and optimize AI/ML models powering a cloud-based voice agent platform. Responsibilities include STT, NLU, and TTS development; MLOps pipelines; AI API services; inference and latency optimization; frontend prototypes and dashboards; research, experimentation, vendor evaluation, documentation, and code quality. The role requires collaboration with backend, frontend, and infrastructure teams.

Lead frontend architecture and development for an AI-powered voice platform. Build responsive dashboards and reusable components, integrate real-time WebSocket and WebRTC voice capabilities, consume AI backend APIs, manage complex application state, and optimize performance, accessibility, and reliability. Mentor frontend developers, establish coding standards, collaborate with designers and backend teams, and develop prototypes, testing strategies, and production-ready interfaces.

Assess public sector organizations and design digital strategies and solutions that improve processes, data use, UI/UX, automation, and AI adoption. Collaborate with stakeholders and technical teams to deliver transformative technology and business system solutions, influence decision-making, and support implementation and change efforts.

Unpaid AI engineering internship to design, build, and deploy ML solutions (NLP, computer vision, recommenders). Work on data preprocessing, model training/fine-tuning, containerized FastAPI microservices, and scalable deployments on Google Cloud Run. Contribute to code reviews, GitHub repos, and integration of third-party AI APIs.

Work on process consulting projects (profit improvement, operational excellence, troubleshooting, decarbonization). Support project teams, engage clients, perform process simulation and modeling, identify sales opportunities, maintain CRM data, and travel (~25%).

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.

Lead design, development, and maintenance of accounting reports and ad hoc queries. Partner with stakeholders and IT to implement system-driven solutions, maintain chart of accounts governance, support testing and UAT, automate processes, and produce board-level financial reports while improving controls and reporting efficiency.

Lead development of advanced analytics and AI/ML solutions (including LLMs/agentic AI) for classified clients. Guide teammates, translate complex data into visual and narrative deliverables, evaluate model performance, and advise leadership on risks and decision criteria.