Top AI Engineer Jobs

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.

Lead the design of generative AI solutions and multi-cloud architectures, translating business use-cases into scalable systems for enterprise deployments.

Responsible for managing AI application infrastructure, incident management, and service quality. Requires expertise in AI Ops, DevOps, and operational strategy.

As a Backend Engineer at Brain Co., you will design, build, and operate backend services and data pipelines for AI products, focusing on robustness and scalability. You'll collaborate across teams and own the full service lifecycle while ensuring high availability and performance. You should have 3+ years of experience in production backend systems and a strong foundation in APIs and distributed systems.

As an AI Product Engineer, you will develop and deploy AI-driven software solutions, collaborate with customers, and optimize applications for real-world impacts.

The AI/ML Engineer will design and deploy advanced AI models, optimize performance, and directly engage with government officials to transform industries through innovative AI solutions.

The AI Systems Engineer will design multimodal AI systems, build pipelines for real-time communication, and ensure reliability in production environments.

As a Senior Security Engineer, you will enhance cybersecurity posture, mentor staff, manage compliance, utilize AI tools, and develop scripts for monitoring. You will guide risk-based remediation and ensure proper AI usage in security workflows, collaborating with teams to document and improve cybersecurity practices.

The Security Engineer will design and implement security controls, enhance security posture, collaborate with IT, and leverage AI tools for cybersecurity. Key responsibilities include managing documentation and leading security initiatives.

The Lead AI/ML Engineer will develop AI systems, optimize ML models, collaborate with teams, and mentor junior members while ensuring quality in software projects.

The AI Software Developer will design, craft, and optimize AI prompts, moving prototypes to operational systems, and architect scalable infrastructures for agentic AI systems.

The Senior Backend Developer will architect and build scalable backend systems, integrate AI technologies, and collaborate with frontend teams to enhance user experience.

As a Tier 3 Support Engineer, you will resolve complex technical issues, work with engineering teams to enhance products, and document solutions.

The AI Infrastructure Engineer designs and builds infrastructure for AI and ML models across various environments, optimizing performance and reliability.

As a Junior Backend Developer, you'll translate UI/UX designs into code, integrate with APIs, and utilize AI tools for efficiency.

As an AI/ML Engineer, you will develop multimodal AI models, focusing on computer vision and agentic capabilities. Responsibilities include data curation, model training, evaluation, and deployment while working with real robotic systems.

The Senior AI/ML Engineer will develop AI systems for enterprise decision-making, focusing on LLMs and real-time data processing. Responsibilities include building detection systems, insight engines, evaluation frameworks, and collaborating with engineers to ensure robust AI product engineering.

The Senior Software Engineer will design and implement Generative AI solutions, collaborate with teams, enhance AI applications, and mentor others in best practices.