Top AI & Machine Learning Jobs

As a Senior AI Engineer, you'll design and develop scalable SaaS applications using Java, focusing on AI and data infrastructure, collaborating with teams.

As a Machine Learning Engineer, you will design core platforms for autonomous agents, engineer data systems, build tools, and enhance product experience while collaborating with data scientists to deploy advanced models.

Lead product development for Felix, Rogo's AI agent: set roadmap, design agent systems and workflows for finance, prototype in code or design, collaborate with engineering and design, and engage top finance users to prioritize and measure agent quality, accuracy, and reliability.

The VP, AI & Applications leads Karman's intelligence layer, overseeing algorithms, control methods, and optimization techniques while driving co-development with partners and managing technical teams.

Lead strategy and roadmap for AI-powered features across Validity's products. Drive discovery, prototype with LLMs and agents, design multi-agent systems, partner with engineering to move prototypes to production, prioritize by impact and complexity, conduct customer research, and measure product success.

Lead research on agentic reasoning systems and runtime intelligence, architect infrastructure for AI research, unify perception, reasoning, and evaluation methods to improve decision-making for autonomous systems.

As an AI Engineer, you will enhance backend systems for agentic AI features, design and deploy multi-agent systems, and manage state and context workflows.

Build LLM-powered full-stack features: vector-backed expert and solicitation indexes, search (OpenSearch/PGVector), APIs and UI. Ship production-quality Python/Go and React code, using AI tools daily, ensure security, reliability, and scalability while iterating rapidly on an AI-first platform.

Lead hands-on delivery of cloud data, analytics, and AI projects using Microsoft Fabric, Azure Databricks, and Azure data services. Architect end-to-end solutions, manage Agile implementations, mentor delivery teams, translate business requirements into production-ready solutions, ensure data quality and governance, manage scope/budget/risk, and support client relationships and business development—with emphasis on Energy clients.

Lead the design and development of advanced AI agents for cybersecurity, focusing on real-time decision-making and adaptive threat responses, while mentoring teams and collaborating across functions.