
Senior GenAI Software Architect
Intel Corporation
full-time
Posted on:
Location Type: Office
Location: Shanghai • China
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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