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AI Technical Lead Jobs

1879 Job Offers

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Technical Lead - Full-Stack AI Engineer - Private Equity SaaS
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United States , Chicago
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170000.00 - 200000.00 USD / Year
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Selby Jennings
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Technical Lead – AI/ML & Data Platforms
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United States , Sunnyvale
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Thirdeye Data
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Technical Lead (React+ Next.js)
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Andersen
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Technical Lead
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United Kingdom , London
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AKQA
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Technical Lead
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United Kingdom , London
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AKQA
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Lead Technical Support Engineer
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Singapore
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105000.00 - 142000.00 SGD / Year
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Airship
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AI/ML Technical Lead
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India , Noida
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3Pillar Global
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AI Research Lead - Multimodal & Video
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Tether App
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Technical Lead
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United States , San Jose
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Spectro Cloud
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Sr. Technical AI Enablement Engineer
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United States , Utah, Chicago
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ModelOp
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Software Engineer, Technical Lead
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United States , Palo Alto
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185000.00 - 300000.00 USD / Year
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Mashgin
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AI Technical Lead
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India , Chennai
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Hogarth
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Technical AI Learning Experience Designer
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Portugal
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General Assembly
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Technical Lead Manager - Backend
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India , Pune
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FloQast
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Technical Program Manager, AI Platform
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United States , San Francisco; New York
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180000.00 - 308000.00 USD / Year
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Figma
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AI & Data Lead
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United Kingdom , North West
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Dynamic Search Solutions
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Technical Lead
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United Kingdom , London
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AKQA
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AI Lead Engineer
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India , Bangalore
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Hewlett Packard Enterprise
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Gen AI Tech Lead
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United States , Atlanta, Georgia; Tampa, Florida
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158400.00 - 237600.00 USD / Year
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Citi
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Lead Technical Program Manager – AI and Data, People Team
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Australia , Sydney
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Atlassian
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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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