Top Artificial Intelligence Jobs

Own system-level requirements, architecture, subsystem interfaces, integration, and verification for a medical surgery platform combining hardware, software, optics, and AI. Translate clinical and product needs into verifiable requirements, troubleshoot cross-disciplinary issues, and ensure safe, reliable product performance. Collaborate with hardware, software, and clinical teams while supporting risk management, design reviews, regulatory submissions, and medical-device documentation.

Advise on nuclear Triad modernization by validating optimization models, pressure-testing assumptions, and translating enterprise realities into decision-support tools. Organize and reconcile acquisition, budget, cost, schedule, and performance data across modernization programs. Partner with modelers, customers, product leaders, and external stakeholders, while briefing and defending analysis for senior military and government decision-makers. This is a part-time 1099 consulting engagement primarily on-site near Offutt Air Force Base.

Lead the roadmap and delivery of an AI data platform supporting internal teams and external healthcare products. Manage ML and LLM platform workstreams across data ingestion, training, deployment, monitoring, and workflow optimization. Partner with AI engineers, researchers, data scientists, clinical leaders, and business stakeholders to define requirements, develop user stories, validate model performance, and turn proofs of concept into scalable production capabilities.

Identifies opportunities to apply AI and automation, designs and tests AI-powered workflows, documents and improves business processes, builds dashboards, analyzes operational data, measures productivity gains, and supports implementation, communication, and change management across business units.

Leads category strategy and complex strategic sourcing initiatives, including RFPs, supplier evaluation, negotiations, contracting, and implementation. Advises executives, clinicians, operational leaders, and suppliers; facilitates value analysis committees; analyzes spend, utilization, market, and supplier data; manages category portfolios; mentors team members; and drives savings, standardization, innovation, risk mitigation, and operational value. Applies AI tools responsibly to improve market intelligence, communications, analysis, and decision-making.

Leads the architecture, integration, validation, safety, cybersecurity, and productization of industrial robotics and automation systems for rail yard operations. Owns system requirements, interfaces, technical trade studies, design reviews, risk management, verification and validation, deployment readiness, and cross-functional execution from R&D through commercialization. Coordinates hardware, software, AI, controls, cloud, networking, manufacturing, suppliers, and customer deployments while ensuring reliability, safety, scalability, and production readiness.

Designs, develops, and maintains backend services, REST APIs, data structures, and system architecture for conversational AI and automation applications. Integrates services with front-end systems, scheduling platforms, and EHRs. Implements authentication, authorization, HIPAA-compliant security controls, and secure PHI/PII handling. Optimizes performance, scalability, latency, reliability, and stability while collaborating with product, QA, integration, and engineering teams.

Leads the creation and operation of a global Legal Technology Services function. Builds and manages technical teams, establishes service-management practices, oversees legal platform architecture and lifecycle management, and delivers complex implementations involving integrations, data migration, testing, deployment, and support. Ensures reliability, security, privacy, governance, and scalability while partnering with Legal Operations, IT, security, privacy, and enterprise stakeholders. Evaluates and enables governed AI and generative AI solutions across legal workflows and systems.

Provides multi-state clinical leadership and operational governance for home healthcare markets. Manages and develops local nursing directors, drives quality and capacity planning, oversees regulatory survey readiness, leads adverse-event reviews and corrective actions, and partners with executive, compliance, HR, finance, and product teams. Uses clinical metrics and dashboards to improve patient outcomes, standardize workflows, reduce clinician turnover, and support scalable care delivery.

Leads portfolio-level product management across HPE Hybrid Cloud, integrating roadmaps, dependencies, governance, and execution across business units. Oversees the Product Management Council, drives AI-enabled product development lifecycle adoption, leads product management transformation, and advises executives on portfolio priorities, risks, customer outcomes, and delivery decisions.

Develops and applies bioinformatics methods for infectious-disease genomics, pathogen surveillance, and emerging-threat response. Analyzes NGS data, builds and validates automated pipelines, performs genome assembly, annotation, taxonomic profiling, coinfection detection, phylogenetic analysis, and molecular epidemiology. Supports fieldable software deployment, documentation, troubleshooting, training, and partner laboratories. The role requires collaboration across scientific and software teams, occasional after-hours support, travel, U.S. citizenship, and eligibility for a Secret clearance.

Lead USDR’s technology and AI strategy, responsible AI adoption, infrastructure direction, technical standards, and organizational technology capability. Partner with program leaders and government stakeholders, guide shared tooling and AI offerings, manage technical leaders, build teams, support fundraising, and drive organization-wide priorities. This hands-on executive role combines product, engineering, AI governance, change management, and public-sector technology leadership in a fully remote environment.

Leads the evaluation, design, development, and deployment of production AI/ML applications in AWS environments. Builds and optimizes machine learning models, assesses emerging technologies, presents technical recommendations, collaborates with federal clients, and mentors engineering teams. The role also supports cloud-native development, operations, security, enterprise AI adoption, and experimentation involving modern AI platforms and practices.

Lead research into emerging AI methods, design rigorous experiments and evaluations, develop novel modeling and agentic approaches, and translate findings into reusable, production-minded enterprise AI capabilities. The role requires hands-on Python development, collaboration with engineers, communication across technical and business audiences, and mentoring colleagues without direct reports. Travel of up to 10% may be required.

Provides executive leadership for advancement analytics, business intelligence, reporting, data governance, integrations, data architecture, AI enablement, innovation, and organizational learning. Establishes data strategy and governance, oversees analytics and decision-support capabilities, leads directors and analysts, and partners with university stakeholders to improve fundraising effectiveness and organizational performance.

Leads the execution of AI strategy across supply chain by identifying use cases, developing intelligent agents and copilots, and scaling AI-enabled planning and decision-support solutions. Bridges business and IT teams, establishes responsible AI governance, leads analytics and dashboard development, improves data readiness, drives adoption, and mentors analysts and cross-functional partners. The role combines strategic leadership with hands-on prototyping, configuration, integration, and continuous improvement of AI and analytics capabilities.

Leads cross-functional projects by managing scope, timelines, budgets, stakeholders, risks, and leadership reporting. Supports Finance and Accounting process, systems, and reporting initiatives. Oversees Gate 0 governance for proposed AI and process-improvement initiatives, including workflow documentation, severity and demand prioritization, and oversight-level recommendations. Facilitates collaboration across departments and evaluates AI and no-code solutions.

Design, develop, deploy, and operate distributed backend systems supporting large-scale, low-latency online model inference. The role owns inference platform technical direction, scalability, reliability, observability, and cloud infrastructure on GCP and Kubernetes. Responsibilities include partnering with ML engineers, optimizing high-throughput services, implementing DevOps and SRE practices, and monitoring production systems with Prometheus and Grafana.

Leads enterprise brand strategy, consumer insights, creative excellence, content strategy, and organic social media across a multi-brand portfolio. Partners with brand leaders to develop differentiated positioning, translate insights into creative campaigns, build culturally relevant consumer engagement, and improve marketing effectiveness. Oversees in-house creative and research teams, agency partnerships, experimentation, and emerging AI-enabled marketing capabilities.

Evaluate AI-generated marketing recommendations, advertising guidance, campaign insights, and business content in Italian and English. Draft, edit, and correct AI responses, provide structured feedback, follow detailed evaluation instructions, and work independently on web-based platforms. The role is remote, part-time, includes paid training, and requires reliable technology, strong written communication, critical thinking, and bilingual proficiency.

Evaluate AI-generated marketing recommendations, advertising guidance, campaign insights, and business content in Japanese and English. Draft, edit, and correct AI responses for accuracy, clarity, natural language, and business relevance. Provide structured feedback to improve AI-powered marketing tools while following detailed instructions. Work independently on a flexible, part-time remote schedule and troubleshoot basic technical issues using web platforms and VPNs.

Review, score, edit, and improve AI-generated responses in French and English. Annotators evaluate prompts across diverse topics, correct business terminology, apply critical judgment, perform quality checks on other annotators’ work, and provide clear written feedback. This is a remote, part-time W2 role requiring 20 hours weekly, with full training provided.

Evaluate AI-generated marketing recommendations, advertising guidance, campaign insights, and business content in Korean and English. Annotators edit and correct AI responses, assess relevance and clarity, provide structured feedback, follow detailed instructions, and troubleshoot basic technical issues independently. The role is remote, part-time, and includes paid training.

Designs, develops, integrates, evaluates, and maintains AI and machine learning capabilities for NATO operational requirements. Responsibilities include generative AI, NLP, predictive analytics, model training, validation, deployment, monitoring, API and pipeline development, lifecycle management, responsible AI, and collaboration with technical and operational teams.

Develop and maintain full-stack web applications, integrate third-party systems and APIs, automate operational processes, troubleshoot live systems, and contribute to AI-driven features. The role requires independent problem-solving, ownership of delivered software, and effective collaboration in a fast-paced environment. This is a hybrid position based in Denver, Colorado, or Rockville, Maryland.