1,233 AI Engineer jobs in United States available for remote work from home. Apply for positions such as Principal, Quality Engineering- AI Lead, AI Engineering Intern (Summer 2027), VP AI Engineering - Enterprise and more! Discover the best work-from-home or hybrid, full- and part-time jobs.
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The role involves developing and executing strategies for AI/ML governance, verification, and validation to ensure mission-critical systems meet quality standards. The lead will collaborate with cross-functional teams to oversee the lifecycle management and safe deployment of AI-enabled tools.
Collaborate with engineers to design, develop, and test Python applications using AI/ML techniques such as NLP, computer vision, and generative AI. Participate in code reviews, troubleshooting, and optimization while contributing innovative solutions to team projects.
The VP of AI Engineering will define and lead the enterprise strategy for data and generative AI, overseeing the design and operation of AI-ready data platforms. This role involves managing cross-functional AI initiatives, ensuring regulatory compliance, and driving measurable business value through advanced analytics and LLM integration.
Oversee the design, development, and operation of large-scale AI infrastructure, including distributed training and GPU resource management. Partner with cross-functional teams to deliver AI-powered products while establishing enterprise standards for responsible AI and model governance.
The trainer will lead a 10-week intensive workforce development program, delivering live instruction on AI engineering, agentic AI, and software modernization. They will facilitate hands-on labs, provide individualized coaching, and assess participant progress through projects and technical demonstrations.
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Lead and develop an engineering team while guiding the architecture and technical strategy for production AI systems. Partner with cross-functional stakeholders to translate AI roadmaps into measurable outcomes and ensure compliance with healthcare regulations.
You will support the development and maintenance of AI infrastructure, including MCP servers and agentic frameworks, while modernizing CI/CD pipelines. Additionally, you will assist internal developers with support tickets and implement security guardrails for software development workflows.
You will architect and build responsive Service Portal experiences and AI-powered applications while leading technical discovery and delivery. You are responsible for translating business needs into reliable software, managing technical risks, and mentoring engineering team members.
Drive technical sales and adoption of Microsoft AI solutions through hands-on engagements like PoCs, hackathons, and architecture workshops. Collaborate with engineering teams to design scalable architectures and resolve technical blockers for enterprise customers.
The Chief of Staff will partner with the Executive Director of AI Engineering to drive strategic vision, operational excellence, and cross-functional execution across global AI initiatives. This role involves establishing operating mechanisms, managing engineering programs, and ensuring alignment across product, research, and business leadership.
You will lead the engineering teams responsible for the core intelligence platform, including agentic orchestration, RAG retrieval, and model optimization. You will also architect the intelligence layer for hybrid AI systems that operate across devices and the cloud.
The Director of Engineering will lead the creation and implementation of AI strategy while driving the design and development of AI systems and products. They are responsible for managing AI projects, ensuring compliance with security and privacy standards, and continuously improving products based on customer feedback.
The Tech Lead will set the technical direction for a solutions team, owning the architecture and design of analytics and AI pipelines. They will also mentor engineers, enforce engineering standards, and partner with business stakeholders to deliver scalable data products.
You will lead the AI & Innovation engineering function by managing the team, defining the product roadmap, and ensuring successful delivery of AI initiatives. You are responsible for reporting key performance metrics to executive leadership and fostering cross-organizational partnerships to scale AI capabilities.
The Manager of Data Engineering AI will lead the data engineering team to develop and implement strategic data architectures leveraging AI innovations. They are responsible for managing staff performance, overseeing IT architecture decisions, and ensuring compliance with regulatory standards like HIPAA.
Lead the enterprise AI engineering platform and define reusable patterns for foundation model access, retrieval-augmented generation, agents, and LLM applications. Deliver and operate production AI applications, establish evaluation and responsible AI controls, and manage the roadmap, team, and cross-functional partnerships.
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The AI Engineering Solutions Architect will lead enterprise discovery sessions and design scalable solutions across the Microsoft cloud ecosystem. They are responsible for shaping engagements, producing high-quality statements of work, and ensuring successful handoffs between sales and delivery teams.
The Senior Director of Engineering will own the technical architecture and roadmap for Podium's AI agent platform, including orchestration, memory, and reasoning systems. They will lead and grow an engineering team while driving the development of new agent capabilities from initial build to production scale.
Provide technical leadership for AI engineering and SDLC automation to improve developer productivity and software delivery. Design and deliver engineering tools, agentic workflows, and copilots while establishing standards for responsible AI use.
You will design and maintain scalable data infrastructure and evaluation frameworks to support core AI and ML product features. Additionally, you will lead the development and deployment of NLP models while collaborating across the stack to integrate these capabilities into user-facing tools.
The intern will own AI-driven projects from conception to deployment, working closely with business teams to build and improve tools. They will utilize agentic AI workflows to develop software and demonstrate their progress to stakeholders.
The Technical Director will lead engineering teams to develop and implement AI-driven solutions while managing the full product lifecycle. This role involves hiring and mentoring top engineering talent while driving strategic technical roadmaps in a high-scalability environment.
The AI Engineering Manager will build and deploy AI features within a pod, working directly with business users to ensure high-quality, production-ready solutions. They are responsible for setting engineering standards, mentoring less experienced team members, and ensuring all deliverables meet design and performance requirements.
The Principal Architect will lead the design and implementation of scalable, cloud-native, and AI-driven solutions to modernize the PBM ecosystem. They will provide technical leadership, mentor engineering teams, and define architectural standards to improve operational efficiency and innovation.
The manager will lead strategic AI initiatives by acting as a hands-on tech lead while managing and mentoring a team of AI-native engineers. They are responsible for setting technical standards, managing compute budgets, and ensuring software engineering excellence across the development lifecycle.
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The Senior Director Analyst will create innovative, must-have insights and market predictions to guide software engineering leaders on AI strategy and value realization. They will act as a trusted advisor to clients through virtual and in-person interactions, while supporting sales and research teams with expert market analysis.
The Vice President of AI Engineering will define and execute the company's AI strategy, scaling agentic AI capabilities across products and operations. This leader will build and manage a world-class AI organization while ensuring responsible AI practices and enterprise-grade reliability.
You will lead the development of the AIOS Agent SDK to serve as the foundation for all internal AI agents and clinical decision-support systems. You will also own the architecture, model strategy, evaluation frameworks, and production reliability for the company's applied AI initiatives.
You will lead the AI engineering team to bridge the gap between research and scalable product deployment for a real-time intelligence platform. This involves defining technical strategies, overseeing model performance, and collaborating with product managers to deliver end-to-end AI solutions.
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