Top AI Engineer Jobs in NYC, NY

Lead design, build, and operate scalable GenAI platform components including foundation model training, LLM inference, similarity search, guardrails, evaluation, governance, and observability. Collaborate cross-functionally, invent LLM optimization techniques, and shape long-term technical vision for foundational AI systems.

Leads the design, development, deployment, and support of foundational AI systems, including model training, LLM inference, similarity search, guardrails, evaluation, governance, experimentation, and observability. Develops optimization techniques to improve scalability, latency, throughput, hardware utilization, and cost. Partners with research, engineering, product, and program teams; contributes to technical vision; and mentors engineers while applying emerging AI research in production.

Build agentic AI workflows that automate Finance processes, including close, reconciliation, forecasting, and reporting. Develop telemetry for AI usage, cost, engagement, and ROI; help design user experiences; validate explainable and auditable outputs; and prototype solutions for production with platform teams. The role also requires learning Finance processes and applying SQL rigor while collaborating with technical and non-technical stakeholders.

Leads the design, development, deployment, and optimization of scalable AI and generative AI solutions. Translates business needs into secure, production-ready architectures; applies foundation models, NLP, retrieval, vector search, and agentic workflows; and implements MLOps and LLMOps practices. Manages project workstreams, evaluates solution performance, ensures security and compliance, collaborates with stakeholders, and coaches junior team members.

Design and implement AI systems and scalable ML models (Python, TensorFlow); build/maintain data pipelines and integrations; apply NLP (NLTK) and deep learning for analytics; deploy and optimize models (including open-weight LLMs); collaborate with stakeholders and continuously learn to improve AI solutions and deployment reliability.

Provide technical leadership for production AI and machine learning systems, including generative AI, intelligent agents, predictive modeling, and optimization. Design scalable AI platforms, APIs, infrastructure, data pipelines, and observability frameworks. Lead architecture through deployment and continuous improvement while optimizing performance, reliability, security, and cost. Partner with multidisciplinary teams, establish engineering standards, mentor engineers, and translate emerging AI capabilities into measurable business outcomes.

Lead the engineering and enterprise adoption of IAM orchestration and MCP gateway capabilities while building New York Life’s governed cyber multi-agent ecosystem. Design production AI agents, RAG architectures, agent registries, identity-aware APIs, and policy enforcement on GCP and AWS. Secure autonomous workflows against prompt injection and privilege escalation, oversee IAM integrations, mentor technical teams, and represent the CISO organization on AI security review boards.

As a Principal AI/ML Engineer, you will lead the development of machine learning solutions for advertising, focusing on optimization, personalization, and deploying models within a highly scalable infrastructure.

The role involves designing, developing, and supporting AI software components, leveraging various AI technologies, and optimizing performance for large-scale AI systems.

The role involves architecting a scalable AI platform, building distributed compute solutions, optimizing technologies, and mentoring internal talent in AI and ML.

As a Senior Lead AI Engineer, you will develop AI solutions, partner with cross-functional teams, optimize LLM performance, and contribute to the AI vision at Capital One.

Lead pre- and post-sales engagements to drive enterprise-wide value using the Celonis Process Intelligence platform. Perform technical discovery, design AI/LLM-based solutions (including agentic systems and RAG), manage implementations and value realization, run QBRs and executive cadences, and enable customer adoption through roadmaps, training, and cross-functional coordination.

Lead design, procurement, and scaling of Mastercard's on‑premise AI infrastructure. Define standards for compute, storage, networking, cooling and data center design; run RFI/RFPs; partner with data science, MLOps, platform, security, and governance teams to support large‑scale training and low‑latency inference for generative and predictive AI workloads.

Lead design and delivery of scalable AI/ML systems: data wrangling, model training, deployment, and infrastructure. Manage teams, mentor staff, own project planning/budgeting, and collaborate with stakeholders to drive AI-driven business insights.

Design, build, and deploy scalable AI/ML systems: data ingestion, model development (Python, TensorFlow), NLP, software integration (C++, Java), data pipeline management, client collaboration, and mentoring junior team members.

Lead design and delivery of advanced data and ML solutions, performing exploratory analysis, statistical modeling, and visualization to inform strategy. Manage and coach teams, collaborate with clients to validate outcomes, and improve analytics processes and data quality to drive business decisions.

Design, build, and ship production LLM-powered features for Gusto Retirement. Implement and integrate LLMs (RAG, agents, prompting, tool loops), make pragmatic architecture decisions, collaborate with product, design, and engineering, write reliable well-tested code, and drive end-to-end execution and iteration.

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

As a Senior AI/ML Engineer, you will manage the AI/ML lifecycle, develop predictive models, conduct anomaly detection, and integrate AI capabilities into the Confido platform.

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.

As a Lead AI Engineer, you will develop and support AI products, enhance system performance, and collaborate across teams to innovate AI solutions for Capital One.

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 the design, development, and deployment of AI software components while partnering with engineers and scientists to deliver innovative AI solutions at Capital One.

Lead AI Engineer responsible for developing AI-powered products, optimizing large language model inference, and collaborating across teams to enhance customer interactions and business value.

Lead AI Engineer responsible for designing and developing AI-powered products, utilizing ML algorithms, and optimizing large-scale AI systems. Collaborate with cross-functional teams to enhance customer experience and drive AI initiatives at Capital One.