Top Artificial Intelligence Jobs

Lead enterprise AI and data governance: build and operationalize governance frameworks for data quality, privacy, lineage, and ethical AI; chair governance councils; manage data catalog and stewardship; ensure regulatory compliance (e.g., EU AI Act, NIST); define guardrails for citizen-led and generative AI; partner with privacy, security, and legal; define KPIs and track governance metrics.

Evaluate and annotate AI-generated responses, write prompts and expected outputs, provide structured feedback, maintain high-quality training datasets, and collaborate with engineers to improve LLM performance and evaluation workflows.

Lead research and advisory work on enterprise IT and AI strategy; produce thought leadership and actionable insights for CIOs and C-suite; advise clients, present at events, support sales, mentor analysts, and drive research agenda and process improvements.

Design, build, and scale enterprise AI solutions including LLM, RAG, and AI Agent systems. Develop cloud-native architectures (Azure/AWS), integrations, MLOps/CI/CD, model monitoring, and governance. Collaborate with stakeholders to translate business needs and drive AI adoption with measurable outcomes.

Lead product strategy for Docker's internal developer platform and AI dev tools. Define golden paths and self-service capabilities, align platform roadmap with business goals, shape AI agent and tooling direction, partner to productize internal capabilities for customers, and measure adoption and developer productivity. Influence cross-functional stakeholders and track outcomes like provisioning speed, reliability, and reduced toil.

Design, build, and deploy enterprise AI solutions and agentic systems integrating LLMs with company data and workflows. Develop RAG applications, conversational agents, and Copilot/Claude-based agents; productionize systems with CI/CD, monitoring, and vector DB retrieval. Collaborate with stakeholders, measure impact, and mentor teammates.

Lead product strategy and execution for C3 Generative AI. Define technical requirements, collaborate with engineering and data science, drive roadmaps, manage go-to-market, monitor product metrics, and iterate based on customer feedback to deliver scalable enterprise AI solutions.

Lead enterprise-wide AI transformation initiatives for Fortune 500 clients, managing complex projects and developing strategies for AI adoption, ethics, and governance.

Design next-gen semiconductors for AI/ML applications, leading advanced development processes and optimizing hardware-software integration.

The role involves developing AI-driven cybersecurity solutions, designing ML models for threat detection, and enhancing security frameworks. Candidates collaborate with SOC teams and assess AI system security.

The AI Implementation Specialist analyzes client workflows, identifies automation opportunities, designs and implements AI-driven solutions to enhance business efficiency and productivity.

The AI Platform Engineer will design and implement MLOps pipelines, develop automated CI/CD systems, and optimize ML infrastructure for performance, cost, and reliability.

Oversee the development and commercialization of AI products, lead teams, conduct market research, and manage product lifecycle.

The Product Manager will lead the Conversational AI and Communications Platform at Mango Voice, managing product strategy, development, and cross-functional collaboration to enhance customer communication experiences.

Develop AI-driven solutions for sales execution focused on ERP integration, pricing engines, and optimization models while ensuring ROI alignment.

Build and evaluate AI agents and ML models for medical billing, collaborating with operations and customers to improve outcomes.

Develop and evaluate NLP-focused AI agents and ML models to automate medical coding and billing. Build internal AI frameworks, fine-tune and evaluate LLMs, and collaborate closely with engineering, operations, and customers to drive product improvements and accuracy in revenue cycle management.

As an AI Systems Analyst Intern, you'll design and implement AI workflows, evaluate systems, and contribute to operational development in an investment firm.

As an AI Systems Analyst Intern, you will design AI workflows, assess AI platforms, and contribute to operational development for an investment firm.

As an AI Systems Analyst Intern, you will design AI workflows and automation pipelines for an investment firm. You'll evaluate systems, build architecture, and contribute to strategic development using AI tools.

As an AI Systems Analyst Intern, you will learn to design and implement AI systems to optimize investment firm operations and participate in creating systems architecture.

The AI DevOps Engineer will design, deploy, and manage scalable AI infrastructure, focusing on automation, security, and high performance while ensuring compliance within financial services.

Lead enterprise AI governance, risk management, and Responsible AI adoption. Oversee AI inventory, policy, risk lifecycle, regulatory compliance, vendor assessments, and integration of governance into business workflows. Partner with Legal, Compliance, Security, PMO, and business units to prioritize AI initiatives, report metrics and ROI, and advise executives and boards.

As an AI Filmmaker, you will create and edit videos using AI tools, collaborate with marketing for concepts, and ensure brand alignment.

The AI Systems Engineer will design AI architectures, build training pipelines, optimize models for edge inference, and manage model lifecycles.