Top Artificial Intelligence Jobs

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 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.

Configure, integrate, and deploy the BT tool stack (Snowflake, Salesforce, Streamlit, workflow tools). Build integrations and Streamlit apps, deploy AI-enabled automations, maintain Snowflake data models and reports, catalog assets with DataHub, implement SDLC/testing/guardrails, ensure data security, and partner with Engineering/InfoSec while mentoring BT team members.

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 development of production AI-assisted engineering systems: build services, APIs, integrations, and tooling; direct and review AI coding agents and AI-generated code; establish repeatable practices, observability, testing, and secure delivery for enterprise platforms.

Design and operate AI agents and decision-support systems for GTM workflows. Embed in field motions, translate stakeholder research into prioritized backlogs, ship and iterate on production solutions, monitor adoption and quality, and scale reusable intelligence across revenue teams.

Design, build, and operate AI agents and decision-support systems embedded in GTM workflows. Conduct stakeholder research, prioritize problems, ship and iterate on agent outputs, monitor adoption and quality, and scale reusable solutions across sales and customer-success motions while staying closely embedded with field teams.

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 People-side AI strategy and portfolio to design, govern, and scale AI-enabled HR experiences, intelligent workflows, and agentic solutions. Partner across HR COEs, shared services, Tech, Legal, Privacy, and Risk to ensure compliant, effective deployments, drive adoption, measure value, and build a high-performing AI enablement team.

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.

Manage and execute Responsible AI governance workflows, intake validation, backlog remediation, documentation QC, audit readiness, and reporting. Coordinate stakeholders, prioritize and escalate higher-risk AI cases, drive process improvements, and mentor junior team members while scaling governance operations.

Execute and maintain Responsible AI governance workflows: intake validation, QC of AI submissions, remediation tracking, stakeholder coordination, reporting, and operational documentation to ensure audit readiness and timely closure.

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.

As a Data Scientist, you'll analyze and interpret complex data sets, develop algorithms, and work with clients to provide actionable insights, utilizing tools from machine learning and AI.

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.