Top AI Engineer Jobs

Design, build, and scale production LLM, retrieval, and agentic AI systems for compliance automation. Implement evidence-grounded, explainable workflows, optimize for latency/cost/reliability, and embed human-in-the-loop guardrails while collaborating cross-functionally.

This role involves defining AI architecture, improving system quality, leading teams, and building production-ready AI systems at Drata.

Lead the development and implementation of Physical AI systems, focusing on robotics and computer vision, while optimizing data pipelines and supporting AI platforms. Collaborate with cross-functional teams and mentor other engineers to drive best practices.

As a Lead AI Engineer, you will design, develop, and support AI systems, collaborating with engineering and research teams to deploy scalable solutions that enhance customer interactions and improve banking services.

The Sr. Lead AI Engineer will design scalable AI services, lead technical projects, improve architectures, mentor engineers, and ensure quality in AI systems.

As a Senior AI Engineer at Klaviyo, you will design and build scalable backend systems and AI solutions, collaborating with product managers and engineers to enhance AI technologies for optimizing customer experiences.

Build and deploy production-scale AI/LLM systems: own ML lifecycle from model development to serving, optimize GPU/Kubernetes deployments, design LLM applications and APIs with monitoring, apply CI/CD and version tracking, collaborate with product teams, and contribute to AI engineering best practices.

Own and build the agent execution harness and orchestration runtime for enterprise-scale conversational/agentic AI: ensure reliability, observability, prompt/version management, LLM integration, eval frameworks, cost/latency optimization, and provide technical leadership for safe, production-grade agent workflows.

Design, build, and productionize GenAI applications and RAG pipelines using LangChain/LangGraph and Vertex AI. Develop ingestion, retrieval, vector DB management, containerized deployments, backend APIs, and frontend components while ensuring observability, security, and CI/CD practices in collaboration with cross-functional teams.

Design, build, and productionize GenAI applications: develop LangChain/LangGraph agentic workflows, RAG ingestion and retrieval pipelines, configure vector databases, deploy services on Google Vertex AI, implement backend APIs (Python/Node), build frontend components (React/Next.js), and contribute to observability, CI/CD, security, and cross-team delivery.

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.

Lead the development and deployment of AI-powered products with a focus on foundational AI systems, LLM optimization, and team collaboration to enhance user experiences in banking.

The Lead AI Engineer will develop and deploy AI components, optimize large language models, and improve AI systems performance while collaborating with cross-functional teams.

As a Lead AI Engineer at Capital One, you will design and support AI software, develop LLM and optimization techniques, and collaborate with cross-functional teams to innovate AI products.

As a Senior Lead AI Engineer, you will design, develop, and optimize AI systems while collaborating with a cross-functional team to implement AI-driven products.

As a Lead AI Engineer, you will design and develop AI components, collaborate across teams, improve performance, and contribute to Capital One's AI vision.

The Senior Lead AI Engineer will design and develop AI-driven products, enhance scalable AI systems, and collaborate with cross-functional teams.

Lead design, development, deployment, and support of foundational AI systems (LLM training/inference, similarity search, guardrails, observability). Optimize large-scale model performance and collaborate with cross-functional teams to deliver responsible, scalable AI products.

Design and deliver AI-powered fraud defenses, build cloud-native systems, collaborate across teams, and mentor engineers in a dynamic environment.

Lead design, build, deploy, and support foundational AI systems and products (LLM training/inference, similarity search, guardrails, evaluation, observability). Optimize large-scale AI performance and collaborate with cross-functional teams to produce responsible, scalable AI solutions.

The role involves building an advanced AI system that enables natural language reasoning, search, and evidence-based intelligence over a multi-sensor world model. Responsibilities include developing retrieval systems and evolving AI capabilities.

Lead design and delivery of AI-assisted engineering across enterprise projects: build production services, direct and review AI-generated code, implement agent workflows, improve testing/observability, and establish repeatable, secure AI-first delivery practices.

Lead design, development, deployment, and optimization of large-scale AI/ML systems (training, inference, orchestration, observability). Collaborate cross-functionally to build responsible, scalable generative AI and agentic platforms, improve performance and cost, and shape long-term ML systems roadmap.

Lead product strategy and delivery for AI-focused developer tools that simplify integration with Airwallex. Own toolkits, SDKs, APIs, documentation, and community advocacy; collaborate with engineering and cross-functional teams to drive adoption, analyze data, and balance user needs with commercial outcomes.

The Data & AI Engineer III will lead cloud data engineering solutions, develop data infrastructure, establish architectures, mentor team members, and secure data around cloud systems.