Top Artificial Intelligence Jobs

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.

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.

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.

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.

Lead advanced data science and AI projects for national security: evaluate AI methodologies, perform TEVV and risk mitigation, analyze complex datasets, produce technical narratives, guide teams, and maintain technical documentation aligned with governance.

Provide technical writing support for proposals, RFIs/RFPs, white papers, SOPs, user guides, and program deliverables. Translate technical/AI/ML content for non-technical audiences, standardize templates, maintain document libraries, create diagrams, ensure quality and compliance with DoD/intelligence standards and ISO 9001, and collaborate with SMEs and cross-functional teams.

Serve as the primary safety business partner for the Western region, leading safety performance, regulatory compliance, incident investigations, risk assessments, audits, and safety program implementation. Partner with operational leaders, analyze safety data, coach teams, support emergency response, and drive continuous improvement across FBO and aviation operations.

Lead the strategy, creation, and delivery of high-impact demos for Intapp’s Celeste agentic AI platform. Build hands-on prototypes using agents, integrations, playbooks, scripts, and sample data; identify compelling business use cases; present keynote demos and webinars; record and distribute demo assets to sales and solutions teams; and collaborate with product, marketing, sales, and leadership to refine the product narrative.

Build and own conversational voice AI products end-to-end: architect, implement, and deploy the platform. Design infrastructure, develop front-end and back-end systems, deliver reliable customer outcomes, and collaborate directly with the CTO to scale the product for enterprise customers.

Lead end-to-end Form 1042-S nonresident alien withholding and reporting, support 1099 reporting, drive reconciliations, data validation, automation, and controls; advise on cross-border tax events and partner with business, technology, and external stakeholders for system implementations and compliance.

The Data Scientist Level 4 develops strategies to extract insights from large datasets, utilizing advanced analytics and machine learning techniques. Responsibilities include statistical analysis, modeling, and effectively communicating findings to non-technical audiences.

Lead BIM strategy, implementation, and governance on complex building projects. Develop BEPs and CDEs (ACC/ProjectWise), manage model coordination/clash detection, integrate 4D/5D workflows, support digital handover and digital twin, automate workflows with Dynamo/Grasshopper, mentor teams, and maintain BIM standards and compliance with ISO 19650.

Supports generative AI application development by evaluating model quality, safety, accuracy, and performance; debugging and optimizing applications; preparing and validating data; and designing secure, scalable solutions with AWS Bedrock and Anthropic Claude. Reviews Python and ReactJS code, documents technical artifacts, tracks tasks, conducts research, and participates in team meetings.

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.

Label and outline plants in agricultural images using an online tool, tag crop and weed types per guidelines, maintain high accuracy across many images. Remote, flexible internship (3 months) with a monthly stipend and completion certificate. No coding or prior labeling experience required; video tutorials provided.

Lead architecture, implementation, maintenance, and optimization of RIS/PACS and CPACS systems. Provide level-three support, manage integrations (DICOM/HL7), mentor staff, lead large imaging projects, improve workflows via root-cause analysis and Lean, and maintain documentation, dashboards, and system performance.

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

Lead design, training, deployment, and maintenance of AI/ML models for immigration-related datasets. Perform data architecture design, analytics, and DevSecOps CI/CD for classified AWS IL6 environments. Advise on security architecture, present findings to stakeholders, and support containerized, production-grade AI/ML solutions and model operations.