2,893 AI Engineer jobs available for remote work from home. Apply for positions such as DevOps & AI Engineering Intern (Undergraduate), Solution Architect ServiceNow Service Portal and AI Engineering, Senior Solution Engineering - AI Business Process and more! Discover the best work-from-home or hybrid, full- and part-time jobs.
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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.
Lead the design and development of production-grade autonomous and multi-agent AI systems. Oversee technical leadership and the creation of AI agents to support software development workflows including coding, testing, and CI/CD.
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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.
The Manager will lead a team of Sales Engineers across Benelux, France, and the Nordics to drive market penetration and new-business growth. They will provide hands-on strategic deal support, manage technical RFPs, and build thought leadership for the company's AI solutions.
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.
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.
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You will lead a team of automation and AI engineers to design, build, and scale intelligent solutions while personally contributing to production code. The role involves setting technical standards, managing project roadmaps, and partnering with leadership to align automation initiatives with organizational strategy.
Design and build a centralized reliability command center to monitor system health and risk across environments. Develop AI agents to assist with incident triage, root-cause exploration, and log summarization.
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 work directly with pharmaceutical customers to design, prototype, and deploy AI-powered solutions that address complex technical and business workflows. This involves translating ambiguous requirements into clear technical architectures and collaborating across engineering and product teams to ensure successful production deployments.
This is a talent community pool for future Data and AI engineering opportunities rather than an active job opening. Professionals in this community will be considered for roles involving data platform development, analytics, and AI system implementation when they align with client needs.
The AI Engineering Strategist will design and build production-quality AI solutions that integrate seamlessly into client workflows to drive business impact. They are responsible for the full project lifecycle, from technical architecture and development to stakeholder presentation and team documentation.
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 AI Engineering Architect will own the internal AI tooling stack, including agentic coding workflows, evals, and automation to accelerate engineering development. They will identify bottlenecks and make strategic infrastructure decisions to improve overall engineering velocity.
You will lead, mentor, and grow a team of AI engineers to build an agentic harness that optimizes product and engineering workflows. You are responsible for defining the AI substrate, managing inference economics, and implementing evaluation infrastructure to ensure high-quality, measurable outputs.
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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.
You will lead a remote engineering team to design, build, and ship production-grade agentic AI systems for enterprise clients. This involves hands-on coding, setting technical direction, and guiding stakeholders through the full lifecycle of AI adoption.
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 developer will apply generative and agentic AI to transform the software development lifecycle by building reusable workflows and developer tools. They will partner with cross-functional teams to implement AI-powered solutions that enhance productivity, software quality, and delivery outcomes.
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