Remote AI Engineer Jobs (2,893)
Senior Cyber Security Engineer, IAM Cloud / AI Identity
Lead the strategy, design, and governance of AI agents, MCP servers, service accounts, and other non-human identities across cloud, SaaS, and on-premises environments. Establish discovery, lifecycle, authentication, and risk controls; drive adoption across engineering teams; and report program metrics while mentoring security engineers.
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AI / ML Ops Engineer
Build and operate automated machine learning and generative AI pipelines for training, deployment, serving, and monitoring models in secure, scalable container environments. Manage model and data versioning, performance and drift monitoring, inference optimization, LLMOps infrastructure, and access controls.
Principal Software Engineer, Integration and Automation - AI Infrastructure
You will design, build, and operate AI-powered automation, CI/CD systems, and developer platforms to improve engineering workflows at scale. You will also own core services end-to-end, leading technical architecture and driving operational health while mentoring team members.
AI Evaluation & Benchmarking Engineer
You will design and build automated evaluation systems to measure the quality, reliability, and performance of AI-driven observability tools. This involves creating synthetic scenarios, benchmarking models, and collaborating with engineering teams to drive continuous product improvement.
Software Development Engineer III (CRM - Opportunities - AI)
You will own the full lifecycle of the CRM Opportunities backend, designing scalable data models and distributed workflows. Additionally, you will build AI-assisted features and ensure system reliability through instrumentation and incident response.
Senior Full Stack Engineer - React, C# + AI
The engineer will design, develop, and maintain scalable full-stack applications while integrating AI-enabled capabilities such as LLMs and intelligent workflows. They will also participate in the full software development lifecycle, including technical planning, code reviews, and collaboration with client stakeholders.
Field Application Engineer – Simulations and Audio AI
You will own the technical evaluation phase of enterprise deals, designing demos and proof-of-concept projects to drive successful adoption of the Treble SDK. Additionally, you will act as a critical feedback channel to R&D and product teams to ensure customer needs influence platform evolution.
Software Engineer (Secrets Manager & AI Identity)
You will lead the development of the secrets engine, machine-to-machine authorization protocols, and developer-focused SDKs. Additionally, you will design infrastructure for AI identity and access management while maintaining operational health through end-to-end service ownership.
Cybersecurity Software Engineer II | ML & AI (Remote)
Design and develop innovative AI-powered security solutions to protect enterprise systems, applications, and data. Collaborate with Enterprise Technology to configure cybersecurity systems, mitigate risks, and investigate security incidents.
Senior Software Engineer, Data Platform & AI Enablement
You will architect and build high-performance distributed infrastructure components, including storage and service layers for global financial data. Additionally, you will lead technical decision-making, optimize system performance, and mentor mid-level engineers to drive project delivery.
AI Security & DevOps Engineer
The AI Security & DevOps Engineer will own the security standards for AI systems from prototype to production, including threat modeling and CI/CD gates. Additionally, this role will lead client security engagements, translating requirements into secure technical implementations and evidence packs.
AI & Support Automation - Engineer
The engineer will identify high-impact support processes and design, build, and deploy AI-powered workflows and agents. They will also manage end-to-end AI pipelines and continuously monitor performance metrics like accuracy, latency, and cost.
Lead Security Engineer - Penetration Testing & AI Security 12 applicants
You will lead application and AI security initiatives, including threat modeling, secure SDLC improvements, and vulnerability management. Additionally, you will conduct adversarial testing on LLM applications, AI agents, and RAG architectures to ensure robust security controls.
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Microsoft Engineer + IA - Azure AI Foundry/Azure OpenAI (Remoto)
You will participate in a specialized cell focused on developing Generative Artificial Intelligence solutions within the Microsoft ecosystem. You will be responsible for designing and implementing innovative AI projects with high visibility for a major insurance client.
Principal Database Engineer – SQL Server & AI Data Infrastructure 20 applicants
You will design, modernize, and scale large-scale SQL Server databases while integrating AI-enabled infrastructure and automation. The role involves leading complex engineering initiatives, optimizing performance, and collaborating across teams to ensure the reliability of business-critical data platforms.
Forward Deployed Engineer – Generative & Agentic AI
The Forward Deployed Engineer will embed with business units to scope, build, and deploy production-grade Generative and Agentic AI solutions. They are responsible for translating complex business needs into technical specifications and feeding reusable components back into the shared AI platform.
AI Enablement & Automation Engineer (80-100%, f::m::d)
You will design and build internal automation and AI-enabled solutions to improve operational workflows across the organization. Additionally, you will maintain these integrations and collaborate with cross-functional teams to ensure solutions are secure and compliant with healthcare regulations.
Staff Software Engineer, Go-to-Market Systems & AI
You will own the technical strategy and architecture for go-to-market systems while designing and operating AI-powered agents to automate sales workflows. You will lead technical execution across teams, partnering with business leaders to deliver scalable solutions that improve sales productivity.
Staff Software Engineer, Go-to-Market Systems & AI 11 applicants
You will own the technical strategy and architecture for go-to-market systems while building AI-powered automated workflows to enhance sales productivity. You will lead cross-functional initiatives and mentor engineers to deliver scalable, reliable solutions that solve complex business problems.
Software Engineer 5 – Training Platform, AI Platform
Design and build scalable infrastructure for machine learning model training, fine-tuning, and evaluation workflows. Optimize distributed training systems for performance, cost-effectiveness, and ease of use for ML practitioners.
AI Infrastructure DC Design Engineer II
The engineer will develop and maintain medium-complexity data hall layouts while performing infrastructure assessments and design optimizations. They will also collaborate with cross-functional teams to troubleshoot design conflicts and support project deployment activities.
Generative AI / Machine Learning Engineer 1016
Develop and implement AI/ML solutions, including Generative AI and LLM-powered applications for business use cases. Collaborate with cross-functional teams to deploy, monitor, and optimize machine learning models and pipelines.
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Forward Deployed Engineer (Python, AI/ML, Generative AI)
You will partner with clients to understand complex business challenges and design, build, and deploy custom AI-powered solutions. This role involves integrating modern AI capabilities into real-world applications while working closely with stakeholders throughout the solution lifecycle.
Senior Azure AI Solutions Architect / Engineer
Lead the architecture, development, and implementation of enterprise Generative AI and intelligent document solutions within a federal environment. Collaborate with cross-functional teams to integrate secure, scalable AI capabilities into existing enterprise systems.
AI Cloud Senior DevOps Engineer
The role involves designing and maintaining CI/CD and MLOps pipelines while managing cloud-native infrastructure using Kubernetes and Docker. You will also act as a technical lead for incident management and ensure high availability and security across AI-powered platforms.
Staff AI Scheduling & Orchestration Engineer
Design and implement advanced batch scheduling architectures to optimize AI workload placement and resource utilization. Collaborate with hardware teams to integrate scheduling layers with bare-metal infrastructure and manage complex accelerator requests.
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