Top Artificial Intelligence Jobs

The AI Data Scientist Sr designs and implements AI/ML solutions, collaborates with stakeholders, processes complex datasets, and optimizes business outcomes through data-driven analytics.

This role involves leading the development of AI-powered products, optimizing large scale AI systems, and mentoring cross-functional teams. It focuses on designing and deploying AI components, contributing to the technical vision, and applying cutting-edge AI techniques.

The Lead AI Engineer will develop and support AI software components, collaborate with cross-functional teams, and optimize large language models for performance and scalability.

Lead AI Engineer responsible for developing AI-powered products and deploying scalable AI solutions using technologies like LLM and machine learning algorithms. Collaborate with cross-functional teams to optimize performance and support AI systems.

The role involves developing AI-powered products, conducting applied research, collaborating with a cross-functional team, and building AI foundation models. Candidates should be innovative, technical, and have a deep understanding of AI methodologies.

Lead design, development, deployment, and support of foundational AI systems including foundation model training, LLM inference, similarity search, guardrails, evaluation, and observability. Optimize large-scale AI performance (cost, latency, throughput), partner cross-functionally, and contribute to technical vision and roadmap.

As an Applied Researcher I, you will partner with a cross-functional team to develop AI-powered products, build AI foundation models, and conduct high-impact applied research in machine learning.

The role involves leading a team to develop AI and ML solutions, manage customer interactions, and analyze large data sets using various technologies.

As an Applied Researcher I, you'll partner with cross-functional teams to deliver AI-powered products, build foundation models, and engage in applied research on advanced AI techniques.

Lead cross-functional teams to develop and deploy AI-powered products, improve AI system performance, and create innovative AI solutions at Capital One.

Lead development and evaluation of AI products for medical professionals using large-scale datasets. Create product and client-facing analytics, influence data team strategy, and collaborate with product managers, analysts, and engineers to execute data projects from ingestion through analysis to recommendations.

The Director of Strategic Sales leads business development and partnerships across Cloud AI and Datacenter accounts, focusing on strategic sales growth and ecosystem collaboration.

Lead global procurement strategies for AI and emerging technologies. Partner with senior stakeholders to build capability playbooks, supplier roadmaps, SRM, sourcing and negotiation strategies, and ESG-aligned sourcing. Drive market intelligence, data-driven process optimization, risk mitigation, program implementation, training, and cross-functional stakeholder alignment to deliver strategic procurement value.

Lead strategy and execution for generative and multimodal vision systems, from research to production. Design model architectures, adaptation, evaluation, and deployment pipelines; improve realism, controllability, robustness, and temporal consistency; benchmark and guide model selection; mentor scientists and coordinate cross-functional engineering to ship production-ready AI capabilities.

Lead development and maintenance of data analysis infrastructure for chemical exposure assessment. Build ETL and data curation pipelines, apply ML/AI and statistical models, collaborate with scientists and engineers, communicate results, publish research, and support funding proposals.

Design, build, and operate AI platform components (LLM gateway, model serving, developer tooling). Own features from development to production, contribute to reliability, observability, governance, and cross-functional integration while producing technical documentation and participating in design reviews.

Lead design, development, deployment, and support of large-scale AI systems (foundation model training, LLM inference, similarity search, guardrails, evaluation, observability). Optimize LLM performance and scalability, partner with cross-functional teams, and contribute technical vision and roadmap for foundational AI systems.

Lead design, develop, deploy, and support large-scale AI systems (foundation model training, LLM inference, vector search, guardrails, observability). Partner cross-functionally to optimize performance, scalability, and cost, and shape long-term foundational AI technical vision and roadmap.

Lead design, build, deploy, and support GenAI platform services (foundation model training, LLM inference, similarity search, guardrails, evaluation, observability). Optimize LLM performance and scalability, collaborate cross-functionally, contribute to technical vision and roadmap.

Lead technical direction and people management for an AI/ML engineering squad. Design, build, and deploy production-grade ML and Generative AI solutions (LLMs, RAG, agentic systems), drive MLOps/CI-CD, ensure Responsible AI and HIPAA-compliant practices, conduct architecture/code reviews, and mentor engineers to deliver measurable business outcomes.

The Senior Intelligence Analyst will provide strategic analysis, reviews and recommendations to enhance military operations for TRADOC, focusing on DOTMLPF.

Manage defense-focused programs from capture through contract execution, ensuring schedule, budget, and technical objectives. Build customer relationships, lead proposal and capture efforts, coordinate subcontractors, manage program risk and reviews, support secure workspaces and classified/secure information handling, and guide software product development processes.

The Digital Marketing Strategist at JMARK will architect and analyze digital growth strategies, oversee paid media campaigns, manage SEO, and utilize AI tools to enhance marketing outcomes while collaborating closely with content and growth operations teams.

The Project Manager will drive AI and automation initiatives within the healthcare sector, managing projects from concept to deployment, while facilitating agile ceremonies and ensuring stakeholder alignment and operational efficiency.

The Intelligence Data Strategist will lead complex data exploration and analytics projects, developing data strategies and supporting military intelligence operations. Responsibilities include integrating intelligence workflows, developing training programs, and making data-driven recommendations to enhance operational effectiveness.