Top AI Engineer Jobs

Lead design, development, deployment, and support of foundational AI systems (foundation model training, LLM inference, similarity search, guardrails, evaluation, governance, observability). Optimize large-scale AI performance (cost, latency, throughput), leverage OSS and SaaS stacks, mentor teams, and shape long-term platform vision.

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

Lead technical development and integration of physics-informed AI, surrogate models, and digital twins for aerospace CFD, structural, thermal, and system-level simulation. Drive AI strategy, lead R&D projects, secure funding, mentor engineers, and transition models into engineering workflows.

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 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.

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.

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

Design, build, and maintain large-scale data pipelines and feature engineering workflows to support fraud and cyber-attack detection models. Improve model deployment, monitoring, drift detection, and MLOps automation while partnering with data scientists, engineers, and product teams to productionize AI solutions and enhance operational reliability and performance.

Designs and delivers agentic AI systems that transform complex business processes into autonomous, scalable workflows. Responsibilities include process decomposition, AI architecture, agent and tool orchestration, prompt and context strategy, prototyping, secure-by-design controls, human-in-the-loop governance, cross-functional delivery, value measurement, playbook development, and mentoring. The role requires hands-on experience with LLM-based systems, enterprise AI platforms, automation, integrations, and business process redesign.

Leads end-to-end architecture and development of secure, scalable enterprise software using Java, Spring Boot, and Python. Defines APIs, integrations, distributed systems, data patterns, and operational requirements. Provides hands-on technical leadership, resolves production issues, establishes engineering standards, and productionizes AI/ML capabilities with responsible AI controls. Partners with data science teams on model deployment, monitoring, and lifecycle management while driving modernization, DevOps, resiliency, and observability practices.

Lead design, build, deploy, and support foundational AI systems including foundation model training, LLM inference, similarity search, guardrails, evaluation, observability, and optimization. Partner with cross-functional teams to deliver scalable, performant, and responsible generative AI platform services and contribute to long-term technical vision and roadmap.

Lead engineering and ML platform work: design, develop, and maintain secure, scalable production code and ML infrastructure; drive adoption and validation of enterprise AI-assisted development practices; automate remediation, evaluate vendors, and coach teams on responsible AI, resiliency, and security within agile CI/CD workflows.

Design, build, and ship enterprise-grade AI agents and applications (Vertex AI, Anthropic) end-to-end. Translate stakeholder needs into AI solutions, integrate agents with enterprise systems and APIs, implement RAG with vector databases, ensure production reliability and compliance, monitor and iterate on deployed solutions, contribute standards and mentor team members, and collaborate with a small global AI team and contractors.

Lead design, build, and deploy enterprise-grade AI solutions (RAG, agentic systems, LLM integrations). Use AI-assisted development tools daily, architect scalable secure systems on AWS, write production code, own end-to-end outcomes, evaluate vendors, and drive cross-team alignment and automation to improve operational stability.

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

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 Staff AI Engineer will build and deploy AI/ML solutions for simulations, working with teams to evaluate and implement AI tools. Responsibilities include leading projects, fine-tuning models, and optimizing performance across various applications in engineering.

Design, prototype, and deploy LLM-powered agents, RAG workflows, and automations that accelerate internal teams and customer-facing product features. Integrate AI systems with SaaS tools, build reusable components and evaluation frameworks, embed with business teams to deliver measurable outcomes, and establish standards for responsible AI, monitoring, and cost control across the company.

The Senior AI Engineer will design and build AI-powered automation tools, maintain LLM systems, and collaborate with business analysts to enhance processes across various operations.

As a Senior AI Engineer, you'll design and implement AI-powered automation tools, maintain LLM-based systems, ensure data quality, and enhance business processes through AI solutions.

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.