Top AI Engineer Jobs

The Data Engineer will develop and maintain AI context data capabilities, create data pipelines, ensure operational excellence, and follow compliance protocols. Responsibilities include data ingestion, retrieval quality improvements, and semantic layer implementation for AI integration within healthcare organizations.

Lead the development of AI systems for an automation platform, focusing on design, implementation, and evaluation of AI/ML projects in financial services.

The role involves building and maintaining AI data capabilities, implementing data pipelines, and ensuring operational excellence in data management within a healthcare context.

As a Senior AI GRC Engineer, you'll lead AI governance initiatives, implement compliance frameworks, and partner with engineering teams to ensure sustainable AI practices at Vanta.

The role involves developing robust robot policies using reinforcement learning algorithms, enhancing sample efficiency, and applying them to real-world hardware for robotics applications.

Lead the design and training of large-scale video/world models for robotics. Develop controllable simulators and evaluate policy success. Contribute to building a flagbearer robotics company with a focus on high success rates in real-world applications.

Design and build AI-powered features leveraging LLMs and retrieval systems. Integrate data systems and create applications for sports analytics. Collaborate with cross-functional teams for high-quality product development.

Develop the model serving platform for multimodal AI models, optimizing performance, collaborating with researchers, and ensuring reliable production infrastructure.

The AI Platform Engineer is responsible for building and securing AI infrastructure, managing Kubernetes environments, implementing CI/CD pipelines, ensuring compliance, and collaborating with teams to enhance platform performance and reliability.

Lead design and implementation of high-performance agent runtimes, backend services, and self-hosted model/agent infrastructure. Build low-latency execution systems, real-time data pipelines, telemetry loops, CI/CD for zero-downtime deployments, and ensure fleet reliability on AWS/EKS.

Design and implement AI-driven solutions, collaborate with stakeholders, and scale AI knowledge across the organization. Foster AI adoption and develop scalable frameworks.

The role involves leading engineering initiatives in cybersecurity AI, developing architectures, collaborating cross-functionally, and integrating AI capabilities into solutions, ensuring operational readiness and standards compliance.

As a Lead Engineer in Cyber AI, you will lead engineering initiatives in cybersecurity, develop AI solutions, and collaborate with teams to enhance capabilities.

The role involves synthesizing, placing, and routing high-speed designs, collaborating with RTL teams, and optimizing designs for power/performance area.

Manage AI compute clusters, monitor systems health, optimize resources, and troubleshoot technical issues, ensuring high performance for ML applications.

As a Staff Software Engineer, you will design, develop, and enhance AI and machine learning applications and services, collaborating closely with cross-functional teams to ensure high-quality standards.

The Application Engineer will develop AI Physics capabilities, work with customers to tailor solutions, and enhance product features based on customer feedback. Responsibilities include building AI-ready data pipelines and debugging complex issues in workflows.

Lead design and delivery of Agentic AI IAM and secrets management across hybrid environments. Build secure authentication/authorization, centralized secrets vaulting, automated rotation, governance, monitoring, and operational metrics. Partner with infrastructure, cloud, DevOps, application, and risk teams to implement Zero Trust, machine identity security, and AI agent safeguards while driving enterprise program execution and compliance.

Build and ship AI-powered automations and agents across business teams. Contribute to OUTGPT platform, implement integrations (APIs, SQL, Snowflake, Salesforce), deploy to AWS, and collaborate with stakeholders while receiving and giving mentorship.

Own and grow OUTFRONT's internal AI platform and external agent infrastructure: move OUTGPT to production, evolve the Agency Connect MCP, design agent infrastructure (routing, guardrails, observability, secrets, cost controls), operationalize AWS AI stack, integrate with internal systems, and mentor the AI & Automation engineering pod.

Lead AI initiatives, establish strategy, and develop generative AI applications. Collaborate with teams to build and optimize financial products.

Embed with customer teams to design and deliver AI/ML-driven solutions end-to-end: data ingestion, model integration, application logic, UI/UX, APIs, monitoring, and scaling. Collaborate on roadmaps, iterate rapidly in production, inform product/SDK direction, support pre-sales, and ensure reliability, performance, security, and compliance. Travel to customer sites (20–40%).

The AI/Machine Learning Engineer II will design and develop models to analyze data for health monitoring devices, focusing on diagnosis and prediction using various algorithms.

The Staff Engineer will build developer productivity systems, manage AI quality, and enforce architecture rules while enhancing CI/CD processes, ensuring robust test harnesses, and improving developer experience at Harper.

The Sr Engineer will develop AI/ML models for health monitoring devices, focusing on algorithm development, data analysis, and cross-functional collaboration.