Intel Corporation

Senior GenAI Software Architect

Intel Corporation

full-time

Posted on:

Location Type: Office

Location: ShanghaiChina

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Job Level

Tech Stack

About the role

  • Builds machine learning based products/solutions which provide descriptive, diagnostic, predictive, or prescriptive models based on data.
  • Uses or develops machine learning algorithms such as supervised and unsupervised learning, deep learning, reinforcement learning, Bayesian analysis, and/or others to solve applied problems in various disciplines such as data analytics, computer vision, and robotics.
  • Interacts with users to define requirements for breakthrough product/solutions.
  • Utilizes current programming methodologies to translate machine learning models and data processing methods into software.
  • Completes programming, testing, debugging, documentation and/or deployment of libraries.

Requirements

  • 8+ years hands-on experience on AI/ML algorithm development
  • 3+ years of hands-on experience in NLP, LLM-based systems, or AI agent development.
  • Deep expertise in GenAI algorithms, solution architecture, and performance tuning.
  • Proven experience building custom AI tools, agents, or apps for real-world use cases.
  • Strong Python skills; experience with frameworks such as LangChain, LlamaIndex, AutoGen, HuggingFace, and other APIs.
  • Experience with RAG pipelines, vector databases (e.g.,FAISS, Chroma), and embedding techniques.
  • Experience optimizing GenAI workloads for edge devices using xPU accelerators.
  • Excellent problem-solving skills with a results-driven, customer-focused mindset.
  • Experience with local LLMs (e.g., Mistral, Llama) or fine-tuning open-source models.
  • Experience in customer/partner support for GenAI workflow design and deployment.
  • Familiarity with client AI tools, cross-platform agents, or plugin ecosystems.
  • Experience in UX/UI or prompt engineering to improve human-AI interaction.
Benefits
  • Intel is committed to Responsible Business Alliance (RBA) compliance and ethical hiring practices.
  • We do not charge any fees during our hiring process.
  • Candidates should never be required to pay recruitment fees, medical examination fees, or any other charges as a condition of employment.
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
machine learning algorithmssupervised learningunsupervised learningdeep learningreinforcement learningBayesian analysisPythonNLPGenAI algorithmsperformance tuning
Soft Skills
problem-solvingresults-drivencustomer-focused