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.

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.

Lead value architecture for Healthcare distribution customers by translating operational data into business outcomes. Build data-backed business cases, drive pilots and implementations, align stakeholders, realize measurable P&L impact, mentor junior team members, and scale reusable use cases across accounts.

The Senior Lead AI Engineer will develop AI components, collaborate with cross-functional teams, and optimize performance for large scale production AI systems.

Lead cross-functional teams to develop and deploy AI-powered products, improve AI system performance, and create innovative AI solutions at Capital One.

Lead AI Engineer responsible for developing AI-powered products and deploying scalable AI solutions using technologies like LLM and machine learning algorithms. Collaborate with cross-functional teams to optimize performance and support AI systems.

The Lead AI Engineer will develop AI software components, partner with cross-functional teams, and optimize large-scale AI systems at Capital One.

As a Senior Lead AI Engineer, you will design and deploy AI software components, innovate LLM optimization techniques, and collaborate with cross-functional teams to enhance banking experiences at Capital One.

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.

Design and implement applications using BigData technologies and distributed systems on cloud services. Develop AI-powered applications and manage data synchronization.

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.

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.

Lead technical direction for AI Receptionist platform, oversee engineering quality, collaborate with executives, and mentor future hires.

Design, develop, and deploy generative AI solutions including foundation models, agentic systems, and RAG. Build Python full-stack applications, scalable REST APIs, cloud deployments, and implement LLMOps/MLOps for CI/CD and monitoring while mentoring teams.

Design, develop, and deploy generative AI solutions and autonomous agents. Implement RAG/KG-RAG, embeddings, knowledge graphs, and Python full-stack services. Build REST APIs, deploy on cloud, apply LLMOps/MLOps, mentor teams, and drive production-grade ML/AI projects.

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.

The Associate AI Engineer role focuses on developing AI solutions, optimizing models, and gaining hands-on experience while participating in a structured tech program.

As a Senior AI Engineer, you'll design and implement advanced AI systems using LLMs, develop multi-agent architectures, and enhance user experiences through AI-driven solutions.

As a Senior AI Engineer, you'll develop ML and Generative AI models, ensure integration with enterprise applications, and manage large datasets while collaborating with teams and mentoring others.

Design and implement AI models for robotic manufacturing, develop simulation tools, and ensure model transfer from simulation to reality while optimizing ML models in production.

As a Senior Software Engineer, you will design AI-driven solutions to automate marketing strategies, collaborate with a team, and mentor junior engineers.

As a Software Engineer II, you'll develop AI-powered marketing strategies, ensuring quality and low latency outputs while mentoring junior team members.

The Applied AI Engineer will build and maintain AI agents, manage integrations and monitor performance, ensuring quality and continuous improvement of AI tools at Zello.

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 ML/AI Engineer will enhance developer productivity for AV engineers at GM by designing, implementing scalable, reliable systems and mentoring team members.