Top Artificial Intelligence Engineer Jobs in NYC, NY

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.

Lead applied research on retrieval and reasoning for compliance-focused AI: design and evaluate RAG/agent strategies, build evaluation frameworks and ranking systems, run experiments, debug failure modes, and hand validated approaches to engineering for productionization.

AI Engineers at Hex will build AI experiences, manage search and context architecture, and work on scalable AI applications. Responsibilities include running experiments, developing infrastructure, and leading initiatives for new capabilities.

The AI Engineer will focus on building AI experiences, deploying models, and enhancing data workflows, working on greenfield applications. Key responsibilities include feature development, architecture collaboration, and shipping impactful product experiences.

The Head of Implementation Engineering will build and lead the implementation team, architect scalable systems, and ensure successful client deployments. Responsibilities include understanding client challenges, designing solutions, and partnering with product and engineering.

Lead design and deployment of AI-powered identity platforms, architect agentic ecosystems and RAG pipelines, ensure reliability and scalability of data infrastructure, mentor engineers, and integrate AI systems with enterprise data tools like Spark and Dagster.

The role involves developing, deploying, and supporting AI software systems, collaborating with cross-functional teams, and optimizing AI solutions for Capital One.

Own AI features end-to-end from ideation to production for partner brands. Build evaluation, regression, and monitoring systems; embed with customers; codify playbooks and reliability infrastructure to safely ship GenAI/agentic systems at scale in a regulated environment.

Design, develop, and deploy generative AI solutions and autonomous agents using foundation models. Build Python full-stack services, scalable REST APIs, cloud deployments, and apply LLMOps/MLOps and RAG/knowledge-graph techniques. Mentor teams and drive production ML lifecycle and monitoring.

Lead design, development, deployment, and support of foundational AI systems including foundation model training, LLM inference, similarity search, guardrails, evaluation, and observability. Optimize large-scale AI performance (cost, latency, throughput), partner cross-functionally, and contribute to technical vision and roadmap.

As an AI Engineer, you will build and scale AI business applications, focusing on generative AI. Responsibilities include rapid prototyping, applying software engineering best practices, and providing production support.

The role involves developing AI engineering platform offerings, optimizing production AI systems, and leading cross-functional teams to enhance banking experiences through AI.

The Senior AI Engineer will lead the design, development, and deployment of AI systems, focusing on LLM inference and optimizing AI models for performance and scalability, working collaboratively across teams.

The role involves leading AI product development, working with cross-functional teams to enhance AI systems, and optimizing large-scale production AI systems.

The Senior Lead AI Engineer will design, develop and deploy AI systems, collaborate with cross-functional teams, and improve performance scalability in AI applications.

Build the execution layer for AI focusing on relational intelligence in natural conversation. Tasks include affect analysis, memory systems integration, prompt engineering, and cloud infrastructure setup.

As an AI Engineer III, you will design and improve AI-driven product features to enhance patient billing clarity and workflows in healthcare.

You will partner with cross-functional teams to deliver AI-powered products, design and develop AI software components, and introduce optimization techniques.

Responsible for designing and developing AI solutions, implementing models, collaborating with engineers, and ensuring best practices in code and architecture.

The role involves developing and deploying AI-powered products, optimizing performance, and collaborating with cross-functional teams to advance AI technology at Capital One.

Lead design and implementation of production GenAI/ML services and agentic systems for post-trade workflows. Build RAG/vector retrieval, integrate ML components, enforce governance/auditability, establish evaluation and monitoring, optimize performance/cost, and mentor engineering teams while collaborating with product and operations.

Technical leader building AI-driven features for Datadog Notebooks: design, prototype, deploy, and scale ML workflows (agents, retrieval, prompt management), run experiments, define metrics, and coordinate cross-team product integration.

The AI/ML Engineer will design, build, and deploy machine learning systems, optimize workloads, and ensure scalability and compliance of the ITMS platform.

Lead a cross-functional team to deliver AI-powered banking products, focusing on developing and supporting AI software components and optimizing LLM technologies.

The Senior Lead AI Engineer at Capital One will design, deploy, and support AI systems, working with cross-functional teams to innovate and enhance customer interactions while ensuring scalability and performance.