Top Artificial Intelligence Jobs

Serve as an individual contributor supporting AI applications: gather and document business requirements, perform data and process modeling, manage application data, monitor system performance, support testing, training, change requests, and produce reports. Collaborate with data scientists, engineers, and stakeholders to translate business needs into functional specifications and improve AI system productivity.

Lead product safety and compliance for medical devices, interpret and apply IEC 60601/ISO 80601 standards, plan and oversee safety testing and certifications, support audits and lab processes, and collaborate with cross-functional teams to ensure regulatory compliance for respiratory care products.

Drive net-new enterprise revenue across a multi-state region by managing full sales cycle with hospitals, health systems, and IDNs. Qualify leads, deliver product demos and ROI, negotiate contracts, maintain CRM forecasts, collaborate with internal teams, attend industry events, and build executive-level relationships to meet quarterly and annual targets.

Lead creation, launch, and growth of a new School of Technology and Trades. Develop strategic and business plans, design workforce-aligned programs, build industry partnerships, oversee budget/facilities, ensure accreditation compliance, recruit and manage faculty/staff, pursue external funding, and track enrollment, completion, employment outcomes, and financial sustainability.

The Research Associate 1 supports laboratory experiments in myeloma research, conducting data analysis, reviewing literature, and assisting with manuscripts and database management.

Lead enterprise Agentic AI strategy, architecture, and delivery across the software development lifecycle. Design AI-agent workflows, Copilots, RAG and knowledge-graph retrieval systems, and LLMOps practices using Microsoft technologies. Integrate solutions with SDLC platforms, establish governance, security, evaluation, monitoring, and responsible-AI controls, and drive adoption through developer enablement. Partner with product, platform, risk, legal, privacy, and engineering stakeholders while measuring outcomes through KPIs and OKRs.

Manage onboarding, training, support, health, retention, and expansion for ~30 mid-market Swine accounts. Deliver high-touch engagement (monthly meetings, on-site visits), demonstrate ROI via insights reports, support sales, and coordinate with Product and Service teams. Maintain CRM records and roll out product features.

Part-time retail sales role demonstrating and selling premium HP PCs at a Best Buy location. Engage customers, build rapport, train store associates, maintain demo stations and merchandising, meet sales quotas, report activity and competitive insights, and complete required paperwork and online training.

Administers and scores neuropsychological and psychological assessments under licensed supervision to support diagnosis, treatment planning, readiness decisions, and cognitive rehabilitation. Conducts individual and group assessment events, screens clients, records observations, assists providers with diagnosis/treatment recommendations, coordinates referrals, and helps prevent client safety risks.

Design and operate AWS and Azure infrastructure, modernize operational workflows with AI and automation, build agentic/event-driven self-service platforms, automate identity and endpoint workflows, establish safe AI operational standards, and influence engineering teams with reusable components, observability, and metrics to reduce manual work and improve reliability.

As a Data Scientist, you will analyze data, develop algorithms, and utilize IoT and machine learning to solve complex problems for clients.

Work with clients to translate data into actionable insights using machine learning, AI, and IoT data. Lead development of algorithms, automated analytic software, ETL pipelines, and data visualizations; integrate FOSS/COTS and support model deployment. Must hold TS/SCI clearance.

Customer-facing clinical ultrasound expert who supports product demonstrations, customer training, and post-installation clinical application support. Partners with sales and healthcare teams to optimize ultrasound utilization, deliver education across specialties, troubleshoot, and improve customer satisfaction and adoption.

Lead full-cycle recruiting for senior Data, ML, and Engineering roles, partner with senior leadership on hiring strategy, own sourcing and candidate experience, negotiate offers, maintain Greenhouse data and reporting, and elevate recruiting best practices and DEI efforts.

As Privacy Counsel, you will advise on privacy compliance and data protection laws, work with stakeholders to implement privacy controls, and negotiate privacy terms in agreements.

Lead AI products end to end, from prototyping and evaluation through deployment, monitoring, and iteration. Own matching, search, ranking, embeddings, and LLM-powered features while shipping production code across Python services, Rails, and React. Develop evaluation systems for nondeterministic AI, analyze product data with SQL, run experiments, review code, and deliver measurable improvements to healthcare career marketplace products.

Leads data science, AI, digital health, and analytics strategy for Immunology R&D. Partners with scientific, clinical, platform, and engineering teams to identify use cases, analyze workflows, evaluate emerging technologies, develop scalable solutions, and improve research execution and decision-making. The role focuses on healthcare, imaging, clinical, biomarker, real-world, and digital health data, including generative and agentic AI applications.

Develop and enhance data warehouses, BI platforms, Tableau dashboards, and self-service analytics solutions. Analyze data, fulfill rapid reporting requests, identify actionable insights, automate reporting processes, and collaborate with business, BI, and IT stakeholders to improve data quality and decision-making.

Designs and maintains AI-powered full-stack applications using React, TypeScript, Python, and FastAPI on Azure. Builds cloud-native, containerized solutions, data pipelines, CI/CD workflows, Terraform infrastructure, dashboards, and secure production systems. Integrates LLMs, AI agents, and machine learning models while partnering with data scientists and business stakeholders. Provides technical leadership, establishes engineering standards, mentors team members, and manages the full software development lifecycle.

Design and develop scalable AI platforms and developer tools using Python, MLOps, LLM prompting, and agentic workflows. Build ETL and data pipelines, integrate and deploy models on cloud infrastructure, implement monitoring and reliability dashboards, prototype generative AI applications, and establish testing, documentation, security, and ethical AI standards. Collaborate with data, engineering, and product teams to operationalize intelligent applications.

Leads enterprise semantic layer, data, and AI platform architecture. Defines lakehouse, medallion, data model, data contract, metadata, schema governance, feature store, model lifecycle, and interoperability standards. Partners with product, engineering, platform, and data science teams to create secure, reusable foundations for analytics, machine learning, and AI applications. Translates business and governance requirements into scalable technical architectures and provides thought leadership across enterprise data and AI enablement.

Build and improve internal AI enablement systems, including reusable journeys, skills, templates, paved paths, integrations, APIs, and development infrastructure. Partner with employees to identify blockers, provide technical guidance, troubleshoot workflows, and translate recurring needs into roadmap improvements. Support AI-assisted development environments, create documentation, and lead office hours, workshops, and enablement sessions. Collaborate with the Smart AI Program lead to execute roadmap priorities and improve internal developer experiences.

Lead product vision and roadmap for AI infrastructure and agentic systems. Work with engineering, data science, and sales to define requirements, prioritize features, enable execution, validate deliverables, maintain technical documentation, support go-to-market launches, and track customer feedback and market trends to drive platform strategy and measurable outcomes.

Supports Managed Services by developing Python, PowerShell, and low-code automations; experimenting with AI-enhanced alert triage, anomaly detection, and root-cause analysis; improving monitoring, dashboards, reliability, and incident response; and contributing to Azure infrastructure automation. Collaborates with IT Operations, Cloud, Network, and Application Engineering teams in an Agile environment while completing a capstone project and technical training.

Lead technical direction for cloud platform engineering: design, build, and operate secure, scalable platforms supporting AI/ML and data initiatives. Drive DevEx, CI/CD, DevSecOps, observability, self-service developer workflows, and AI-assisted development including agent and MCP integrations.