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AI Technical Lead Jobs

1912 Job Offers

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Lead Product Designer, AI
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United States
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157500.00 - 246750.00 USD / Year
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Atlassian
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Technical Lead
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United Kingdom , London
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iProov
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Analytics & AI Delivery Lead
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United States
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107000.00 - 179000.00 USD / Year
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Avanos
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Senior Sales Technical Lead
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United States , Philadelphia
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Aramark
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GenAI Technical Lead
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Admiral Group Plc
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AI Research Lead - Multimodal & Video
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AI Research Lead - Multimodal & Video
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AI Research Lead - Multimodal & Video
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AI Research Lead - Multimodal & Video
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AI Research Lead - Multimodal & Video
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AI Content & Design Lead
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United States , New York; San Francisco
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109000.00 - 157000.00 USD / Year
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Taskrabbit
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Generative AI Tech Lead
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Provectus
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Cto / Technical Co-founder – Ai
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United States , Raleigh–Durham
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Orbis Consultants
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Change Lead - AI Transformation
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United Kingdom , London
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Eames Consulting
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Lead Product Designer, AI & Experience
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United States , New York
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190000.00 - 245000.00 USD / Year
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DesignX Community
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AI Scale & Adoption Lead - Bosch Mobility
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Poland , Warszawa
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Robert Bosch Sp. z o.o.
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AI Scale & Adoption Lead
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Poland , Warszawa
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Robert Bosch Sp. z o.o.
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Principal Technical Program Manager - AI and Search Infrastructure
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United States , San Francisco; Mountain View; Seattle
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166100.00 - 266800.00 USD / Year
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Lead AI Engineer - GenAI & RAG Solutions
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Belgium
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Inetum
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Principal Technical Product Marketing Manager, AI
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United States
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Explore the forefront of innovation with AI Technical Lead jobs, a pivotal senior role at the intersection of artificial intelligence, software architecture, and team leadership. An AI Technical Lead is responsible for guiding the strategic technical direction and successful implementation of AI-powered systems within an organization. This profession involves translating complex business problems into robust, scalable, and intelligent technical solutions, serving as the bridge between executive vision, product management, and engineering execution. Professionals in these roles typically shoulder a broad spectrum of responsibilities. They architect the overall system design for AI applications, which often includes machine learning models, large language model (LLM) integrations, data pipelines, and agentic systems. A core duty is making critical technology stack decisions, selecting appropriate frameworks, cloud services, and infrastructure to ensure performance, security, and cost-efficiency. They lead and mentor development teams, fostering best practices in coding, testing, and deployment while conducting rigorous code and design reviews. Ensuring the scalability, reliability, and maintainability of often non-deterministic AI systems is a constant focus. Furthermore, AI Technical Leads collaborate closely with cross-functional partners to align technical deliverables with product roadmaps and business objectives, often owning the end-to-end delivery of key AI initiatives. The typical skill set for these jobs is both deep and wide. A strong foundation in software engineering principles, with several years of experience in languages like Python, Java, Go, or TypeScript, is essential. Expertise in AI/ML concepts, including hands-on experience with LLMs, prompt engineering, vector databases, and relevant frameworks (e.g., LangChain, PyTorch, TensorFlow), is a fundamental requirement. Proficiency in cloud platforms (AWS, GCP, Azure) and modern DevOps practices, including containerization (Docker, Kubernetes) and CI/CD pipelines, is standard. Beyond technical prowess, successful candidates demonstrate exceptional leadership, communication, and problem-solving skills. They must thrive in ambiguous environments, make data-driven decisions, and possess the ability to explain complex technical concepts to non-technical stakeholders. A strategic mindset, coupled with a passion for mentoring and team growth, defines the profile of a top-tier AI Technical Lead. For seasoned engineers and architects looking to shape the future of technology, AI Technical Lead jobs represent a career-defining opportunity to drive innovation, lead talented teams, and build the intelligent systems that will define the next decade. This role is ideal for those who excel at turning cutting-edge AI research into reliable, production-grade applications that deliver tangible business value.

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