Top Artificial Intelligence Jobs

Lead and scale full-stack engineering teams for Yahoo Mail; define engineering vision and roadmap; drive AI-native development and AI transformation using Generative AI/LLMs and agents; partner with Product, Design, and Data Science to deliver scalable cloud-native mobile and web experiences; hire, mentor, and retain engineering talent while guiding architecture, technical reviews, and platform modernization.

Build and scale AI data and ML infrastructure: evaluation systems, fine-tuning pipelines, agent-first product surfaces, high-throughput data workflows, and integrations of new models into production.

Design and validate pre-built fraud detection models and cold-start scoring for payments and onboarding. Analyze large-scale consortium data to derive deployable features, test AI agent logic, and collaborate with Product, Engineering, and Strategy to productionize ML and LLM solutions with strong statistical rigor.

Lead architecture and implementation of AI/ML production systems for Growth: APIs, data pipelines, evaluation and monitoring. Partner with ML/research teams to productize models, build cross-team foundations (eval, content quality, agent platforms), manage latency/cost/quality tradeoffs, ship at scale, and mentor engineers as a peer Staff IC.

Design, build, and operate agentic AI systems for Roku TV: prototype, architect, and deploy agents and copilots; implement RAG, tool/function-calling, orchestration, observability, evaluation, and safeguards; integrate agents with backend services and production pipelines; collaborate across teams to deliver scalable, reliable solutions.

Build and deploy agentic, multi-step AI workflows and reusable agent skills; generate production AI images; use AI coding tools daily; develop API integrations (Google Workspace, Notion, Slack, Workable); own projects end-to-end including logging, error handling, and monitoring.

Design and build fault-tolerant, distributed infrastructure for AI agents (memory, state, execution). Own architecture, deploy production services, create observability/eval tooling, collaborate on compliance workflows, improve performance and reliability, and mentor engineers.

Provide legal counsel and governance for enterprise AI adoption, monitor global AI and data privacy regulation, draft and negotiate AI and data contracts, support AI policy development, conduct DPIAs, advise on AI risks (bias, IP, employment), and collaborate with cross-functional teams on compliance, incident response, and training.

Design, build, evaluate, and operate AI-powered systems including LLM orchestration, retrieval/RAG, embeddings, and vector search. Develop scalable backend services, APIs, data pipelines, and evaluation frameworks. Improve observability, reliability, and performance of AI workflows while collaborating with frontend, data, and product teams to deliver conversational analytics and natural-language-driven features.

The IT Project Manager will execute the company's IT roadmap, manage stakeholders, monitor project progress, and ensure quality outcomes while fostering collaboration within the team.

The Business Development Representative at Zentric AI focuses on generating leads, nurturing client relationships, and supporting revenue growth in service-based industries such as healthcare and real estate.

The AVP, Business Analytics & AI leads the execution of data, analytics, and AI strategies, driving measurable business outcomes and ensuring governance of data products and AI operations while partnering with business and technology leaders.

Lead a team of engineers to develop AI-driven solutions for digital marketing, ensuring high quality and scalability, while mentoring team members.

The role involves leading business development and marketing for an AI Talent Solutions platform, focusing on revenue growth, market expansion, and driving marketing strategies.

Drive revenue growth through product and IT service sales, manage client relationships, support RFP processes, and own the sales cycle.

The role involves executing go-to-market strategies, generating demand, managing pipeline creation, and enhancing product marketing for AI services and IT consulting.

Design and scale the infrastructure for Fury's AI model training and deployment, ensuring efficient data pipelines and collaboration with AI teams.

As a Founding AI Backend Engineer at Pakket, you'll enhance backend systems, debug the CV pipeline, and deploy services across warehouses, ensuring operational reliability and rapid feature deployment.

As an AI Solutions Associate, you will support AI adoption through research, prototyping, and implementation of AI solutions for marketing and client experience enhancement.

As an AI Engineer, you will develop AI security capabilities, integrate features for vulnerability detection, and maintain APIs for secure interactions while collaborating across teams.

As a Staff Software Engineer in Applied AI, you will architect AI systems for vulnerability detection, collaborate across teams, and improve AI model performance.

As a Senior Software Engineer on the AI Platform team, you will develop AI security features, enhance vulnerability detection, integrate AI patterns, and collaborate across functions to deliver solutions.

As a Senior Software Engineer for Applied AI, you'll develop AI security capabilities, integrate AI models, and improve security workflows within HackerOne's platform while collaborating across teams.

The AI Driven Verification CAD Engineer will develop AI frameworks, innovate verification methodologies, and integrate AI tools to enhance ASIC design productivity while supporting global engineering teams.

The Revenue AI Solutions Analyst designs, builds, and operationalizes AI solutions that enhance Sales, Operations, and Finance efficiency through predictive models and integration with enterprise systems.