Senior Lead / Principal AI Engineer - AI Engineering

About the role

We are looking for an experienced and driven Lead / Senior Lead / Principal AI Engineer to join our R&D AI Engineering team. In this role, you will play a critical part in shaping, building, and scaling AI-native solutions across our products, with a strong focus on Applied AI, Generative AI, and agentic systems. You will lead the design and delivery of complex AI/ML systems end-to-end, covering model integration, advanced retrieval-augmented generation (RAG), agent-based architecture, evaluation frameworks, and production-grade AI platforms. This role requires deep technical expertise, strong architectural judgment, and the ability to leverage emerging agentic AI frameworks and AI-assisted development tools to accelerate delivery while maintaining enterprise-grade quality, safety, and reliability. Tasks included but not limited to: - Design, implement, and evolve production-grade AI/ML and Generative AI architectures, including advanced RAG systems and agent-based workflows. - Lead integration of LLMs and AI services into enterprise platforms, ensuring scalability, security, and reliability. - Drive architectural decisions, perform trade-off analysis, and author high-quality design artifacts and ADRs for complex systems. - Build and standardize AI evaluation and testing frameworks covering quality, reliability, safety, bias, and performance. - Leverage agentic AI frameworks and AI-assisted development tools to build, debug, troubleshoot, and ship features efficiently to production. - Collaborate closely with Product, Architecture, Data, and Platform teams to align AI solutions with business outcomes. - Mentor and coach engineers, lead technical reviews, and guide teams through complex problem-solving. - Proactively improve AI engineering practices, tooling, and standards across the organization. - Stay ahead of advancements in Applied AI and contribute to strategic experimentation and innovation initiatives. - Bachelor's or Master's degree in Computer Science, Software Engineering, AI, or a related field (or equivalent practical experience). - Significant experience delivering and owning complex, high-impact software or AI systems. - Advanced proficiency in one or more mainstream programming languages such as Python, Java, C#, Go, or TypeScript. - Strong expertise in Applied AI, including LLM integration, advanced prompt and context engineering, advanced RAG architectures, agent frameworks, and AI evaluation. - Experience with cloud-native architectures, CI/CD pipelines, and operating AI systems in production. - Ability to lead technical direction, mentor engineers, and influence architectural decisions across teams. - Strong written and verbal communication skills with the ability to engage both technical and non-technical stakeholders. - Demonstrated ability to rapidly adopt new AI frameworks, tools, and paradigms and apply them effectively in real-world delivery. If you are motivated to shape the future of AI-powered enterprise software and lead engineering excellence at scale, we encourage you to apply. We embrace flexibility and hybrid work opportunities to support diverse needs and lifestyles, while also valuing inclusive workplace experiences. By fostering a sense of community, we drive innovation, strengthen connections, and nurture belonging. Our commitment ensures you can work in a way that suits you best, while also engaging with colleagues to share ideas and build meaningful relationships.

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Company Intel

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