Top AI Engineer Jobs in NYC, NY

Build and ship LLM-powered production features end-to-end: prompt orchestration, tool calling, retrieval/RAG, embeddings, evaluation infrastructure, observability, safety guardrails, and integrations. Collaborate with clinical teams, prototype quickly, measure outcomes, and raise engineering standards through mentorship and technical leadership.

Build and ship production LLM-powered features across patient-facing products, clinical workflows, and internal tools. Implement AI application layers (prompt orchestration, tool calling, RAG, agent workflows), connect LLMs to internal APIs and systems, and develop evaluation suites and observability for model quality. Prototype rapidly, collaborate with clinical teams, and contribute to AI infrastructure and engineering best practices.

The Forward Deployed AI Engineer develops AI solutions using LLMs, collaborates with customers on their AI strategy, and executes high-stakes projects to solve real-world problems.

Design, build, and deploy production-grade AI and Generative AI solutions. Collaborate with data scientists and platform engineers to implement scalable, observable models, manage ML experiments, automate deployments, and review code. Prototype new AI capabilities and apply LLM/GenAI patterns (RAG, agentic workflows) for enterprise integration.

The Sr. Distinguished AI Engineer at Capital One will lead the development and deployment of AI systems and collaborate with cross-functional teams to enhance customer experiences through AI solutions. Responsibilities include designing and supporting AI components and optimizing production AI systems.

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.

Lead design, development, deployment, and support of production-scale AI systems (foundation model training, LLM inference, similarity search, guardrails, evaluation, governance, observability). Drive LLM optimizations, technical vision, and cross-functional delivery of responsible AI products.

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

Lead design and delivery of an agentic AI platform: define architecture, standardize agentic workflows, build GenAI SDK/CLI, harden guardrails and observability, optimize orchestration and costs, own Helm/K8s operators for autoscaling, incubate RFCs and proofs of concept, and mentor engineering leaders while evangelizing platform practices internally and externally.

Design and build an enterprise generative AI platform: agent orchestration, memory, guardrails, vector search, SDKs, and blueprints. Standardize agentic workflows, optimize orchestration and cost, own Helm/Kubernetes operators, ensure trust and safety, mentor engineering teams, and evangelize platform architecture internally and externally.

Use advanced analytics, statistical techniques, and machine learning to extract insights from large datasets. Design data solutions and pipelines, build predictive models (R, MATLAB), and apply TensorFlow and Scikit-Learn for deep learning and NLP. Collaborate with teams and clients, deliver quality work, and adhere to firm standards.

The Lead AI Engineer will design, develop, and support AI software components, optimizing AI systems for performance and scalability while collaborating with cross-functional teams.

As a Senior AI Engineer, you will design and build AI-driven tools and pipelines to automate business processes, ensuring production reliability and integrating AI technologies into operations.

The role involves architecting and launching AI systems, designing software components, optimizing performance, and collaborating with cross-functional teams to enhance customer experiences at Capital One.

Lead the development of innovative AI solutions, guide teams through complex challenges, and collaborate with diverse stakeholders to enhance operational effectiveness and achieve strategic objectives.

The Senior Lead AI Engineer will develop and support AI software components, lead cross-functional teams, and optimize AI solutions for Capital One's banking systems.

Lead AI Engineer responsible for developing AI software components, partnering with cross-functional teams to deliver AI-driven products, and optimizing large-scale AI systems.

The Senior Lead AI Engineer will develop AI software components, partner with cross-functional teams, and contribute to AI system optimization. Key responsibilities include model training, deployment, and leveraging AI technologies to enhance banking services.

The Senior Lead AI Engineer will develop, optimize, and support AI products, collaborating with teams to implement machine learning solutions transforming customer interactions at Capital One.

The Lead AI Engineer will design, develop, and support AI software components, leveraging various AI technologies to enhance banking services. The role involves partnering with cross-functional teams to deliver AI-powered products and optimize large-scale production AI systems.

The Senior Lead AI Engineer will develop, test, and support AI software, design new models, and enhance AI product offerings at Capital One while collaborating across teams.

The Senior Lead AI Engineer will develop and support AI software components, collaborate with cross-functional teams, and enhance banking experiences through AI systems.

Lead design, development, deployment, and support of scalable GenAI platform components (foundation model training, LLM inference, vector search, guardrails, evaluation, observability). Optimize training and inference performance, contribute to technical vision and roadmap, and partner with cross-functional teams to deliver responsible, production-grade AI systems.

Architect and scale an internal AI platform and APIs to integrate LLMs into developer workflows. Build autonomous agents, RAG systems, and production-grade tooling to boost developer productivity, ensure reliability, security, and cost-efficiency, and collaborate across product, infrastructure, and security teams.

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.