Genai Software Architect

Intel Intel · Semiconductors · Shanghai, China +1

GenAI Software Architect role at Intel, focusing on building and optimizing AI/ML-based products and solutions, particularly LLM-based systems and AI agents. Requires expertise in GenAI algorithms, solution architecture, performance tuning, and experience with frameworks like LangChain and RAG pipelines. The role involves developing and deploying machine learning models and methods into software, with a focus on real-world use cases and edge device optimization.

What you'd actually do

  1. Builds machine learning based products/solutions which provide descriptive, diagnostic, predictive, or prescriptive models based on data.
  2. 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.
  3. Interacts with users to define requirements for breakthrough product/solutions.
  4. In either research environments or specific product environments, utilizes current programming methodologies to translate machine learning models and data processing methods into software.
  5. Completes programming, testing, debugging, documentation and/or deployment of libraries.

Skills

Required

  • AI/ML algorithm development
  • NLP, LLM-based systems, or AI agent development
  • GenAI algorithms, solution architecture, and performance tuning
  • Building custom AI tools, agents, or apps
  • Python
  • LangChain, LlamaIndex, AutoGen, HuggingFace, and other APIs
  • RAG pipelines, vector databases (e.g.,FAISS, Chroma), and embedding techniques
  • Optimizing GenAI workloads for edge devices
  • Local LLMs (e.g., Mistral, Llama) or fine-tuning open-source models
  • Customer/partner support for GenAI workflow design and deployment
  • UX/UI or prompt engineering

Nice to have

  • xPU accelerators

What the JD emphasized

  • 5+ years hands-on experience on AI/ML algorithm development
  • 3+ years of hands-on experience in NLP, LLM-based systems, or AI agent development.
  • Proven experience building custom AI tools, agents, or apps for real-world use cases.

Other signals

  • Develops machine learning algorithms
  • Builds custom AI tools, agents, or apps
  • Optimizing GenAI workloads for edge devices