Top Artificial Intelligence Jobs

The Director, Data Science oversees data-driven solutions, manages the Data Science team, and collaborates with business units and product development to implement advanced techniques. Provides strategic leadership and mentorship to enhance team effectiveness.

Apply GEOINT tradecraft to exploit, process, analyze, and visualize geospatial data supporting imagery acquisition and GEOINT production. Use geospatial techniques, scripting/programming, and analytic methodologies to produce NGA-standard GEOINT products, support AI-enabled analysis, and collaborate with teams to meet mission requirements.

Support NGA Maven by applying GEOINT tradecraft to exploit, process, analyze, and visualize geospatial and imagery data. Produce GEOINT products to NGA standards, use scripting/programming and geospatial tools, perform multi-INT analysis, contribute to AI-enabled analytic modernization, and collaborate with teams while ensuring product quality and customer-focused outcomes.

Serve as the bridge between AI models and field operations to deliver measurable business value. Prepare data for AI readiness and governance, implement and iterate a knowledge-base chatbot, pilot wearable AI and AR onboarding for technicians, build an "AI manager" with agentic workflows, and standardize prompts, automation, and workflows to optimize technician productivity and service quality.

The AI Chief of Staff will manage AI infrastructure, develop internal applications, evaluate vendors, and drive tool adoption across the company, enhancing efficiency and workflows.

Build and scale backend and full-stack systems powering patient booking, clinician routing, logistics, and device integrations. Own 0->1 projects, design APIs and data models, solve scheduling and dispatch challenges, integrate external health systems, and collaborate with product, data, ops, and clinical teams.

Build and scale backend and full‑stack systems powering patient booking, clinician routing, logistics, and device integrations. Ship end-to-end features, design APIs and data models, solve scheduling/dispatch challenges, integrate with external health systems and medical devices, and own projects from 0→1 while collaborating with product, data, ops, and clinical teams.

You will tackle AI challenges, develop scalable software and collaborate with teams to enhance healthcare navigation using AI solutions.

The role involves designing and developing AI software solutions, collaborating with cross-functional teams, and optimizing large-scale AI systems for performance and scalability.

The Senior Lead AI Engineer will develop and support AI software components, partner with cross-functional teams, and enhance AI systems performance. Responsibilities include designing, deploying, and optimizing AI models for improved banking services.

Lead the development of AI-powered products by collaborating with cross-functional teams, designing AI components, and optimizing models for performance and scalability.

In this role, you will lead AI projects, collaborating with cross-functional teams to develop and deploy advanced AI solutions, focusing on LLM inference and model optimization.

Lead design and implementation of scalable Cloudera-based data warehouse and lakehouse platforms, integrate AI/LLM and RAG workflows, build batch and near-real-time pipelines, define governance/security/quality standards, optimize SQL engines, mentor teams, and translate FP&A and Sales requirements into analytics and data products.

Design, build, and deploy enterprise-scale generative AI and LLM applications, agentic workflows, and RAG pipelines. Develop full-stack solutions using React/Next.js, Python/Node.js, and PostgreSQL; integrate vector databases and optimize retrieval; lead technical design, mentor engineers, and ensure responsible AI deployment and scalability.

Own and execute Stream’s organic growth across SEO, AI-search (AEO), and website conversion. Set strategy and run technical SEO, content and off-page authority programs, AEO visibility tracking, A/B and multivariate experiments, and measurement (GTM/GA4). Collaborate with frontend, content, and DevRel to implement changes, instrument tracking, and improve qualified organic traffic, signups, and AI-search citations.

Lead Grow's AI Enablement team to define and execute the company-wide AI roadmap. Build and operate core AI infrastructure (data pipelines, embeddings, retrieval, model access, connectors, and governance) with PHI compliance. Architect integrations and APIs enabling agentic workflows, drive delivery of high-priority LLM and AI-assisted care use cases, and manage vendor governance, procurement, and cross-functional alignment.

Contract recruiter to run two intensive 10-week screening waves for an AI fellowship. Review written applications, conduct 30-minute structured interviews, score candidates on a six-competency rubric, manage pipelines in Greenhouse, handle scheduling and no-shows, participate in calibration, and help refine rubric and process. Expected to sustain high volume (≈35 screens/week) and meet SLA timelines across hundreds of candidates.

Lead product for AI Corps: define roadmap, metrics, and platform powering fellow recruitment, matching, deployment, and enterprise L&D. Partner with Earned Revenue, Curriculum, Engineering, and Anthropic to run discovery, experiments, and ship high-quality experiences that scale to enterprise customers.

Lead and grow an AI engineering team to build internal copilots, agents, and an AI platform. Act as a player-coach contributing to architecture, prototypes, and code. Define technical roadmap, partner with business leaders to ship AI-native workflows, and ensure governance, observability, evaluation, and cost controls for LLM-driven systems.

Serve as a strategic technical partner for key customers: design and advise on cloud architectures, run technical workshops, proactively monitor usage, resolve escalations with engineering, drive retention and expansion, and develop tools and documentation to improve Technical Account Management efficiency.

Design and build production-grade full-stack, AI-enabled applications. Develop React/Next.js frontends, backend services on Kubernetes, integrate LLM/AI features, connect data platforms, implement CI/CD, automated testing, observability, and ensure secure, high-performance APIs and services.

Senior GEOINT analyst applying imagery and Order of Battle expertise to identify, classify, annotate, and validate military targets across multi-modal imagery. Support AI/ML by creating, reviewing, and validating training data, produce GEOINT products, perform quality control and peer review, and provide subject-matter expertise for intelligence production and customer briefings. Mentor junior analysts and collaborate with technical teams in a mission-focused environment.

The role involves model validation, monitoring AI model performance, challenging model developers, and translating technical requirements into practical evaluations and controls for AI and ML models.

As an AI Product Insights Analyst, you'll develop AI-enabled analytics frameworks, manage data models, and collaborate to enhance decision-making through Generative AI applications.

The Director of Business Development for AI Products will identify new business opportunities, develop sales strategies, manage relationships, and drive sales for Tempus's AI solutions in the life sciences sector.