Senior GenAI Software Architect

Intel CorporationHillsboro, OR
1dHybrid

About The Position

Ready to architect the future of artificial intelligence? Step into the future as a Senior GenAI Software Architect where cutting-edge artificial intelligence meets real-world impact. You'll architect breakthrough machine learning products that deliver descriptive, diagnostic, predictive, and prescriptive models, transforming complex data into actionable intelligence across data analytics, computer vision, and robotics.

Requirements

  • Bachelor’s degree in Computer Science, Software Engineering, Artificial Intelligence, Data Science, or a related technical field.
  • 4+ years hands-on AI/ML algorithm development experience
  • 3+ years specialized experience in NLP, LLM-based systems, or AI agent development
  • Experience in the following: GenAI algorithms, solution architecture, and performance tuning
  • Building custom AI tools, agents, or apps for real-world use cases
  • Python skills with GenAI frameworks (LangChain, LlamaIndex, AutoGen, HuggingFace)
  • RAG pipelines and vector databases

Nice To Haves

  • Master’s degree or PhD in Computer Science, AI, or a related technical field.
  • Experience optimizing GenAI workloads for edge devices using xPU accelerators
  • Experience with local LLMs (Mistral, Llama) and fine-tuning open-source models
  • Customer/partner support for GenAI workflow design and deployment experience
  • Client AI tools, cross-platform agents, or plugin ecosystems experience
  • Experience in UX/UI design or prompt engineering for human-AI interaction
  • Multiple ML methodologies (reinforcement learning, Bayesian analysis)

Responsibilities

  • Build Intelligence: Develop sophisticated GenAI solutions using supervised/unsupervised learning, deep learning, reinforcement learning, and Bayesian analysis
  • Collaborate & Innovate: Work directly with users to define requirements for breakthrough products and solutions
  • Full-Stack Development: Translate ML models into production software through programming, testing, debugging, documentation, and deployment
  • Optimize Performance: Fine-tune GenAI workloads for edge devices using xPU accelerators
  • Customer Success: Support partners in GenAI workflow design and deployment
  • Results-driven: Customer-focused problem-solving mindset
  • Core Technologies: Python mastery with LangChain, LlamaIndex, AutoGen, HuggingFace APIs
  • AI Infrastructure: RAG pipelines, vector databases (FAISS, Chroma), embedding techniques
  • Model Expertise: Local LLMs (Mistral, Llama), fine-tuning, performance optimization
  • Human-AI Interface: UX/UI design, prompt engineering for optimal interaction

Benefits

  • We offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock bonuses, and benefit programs which include health, retirement, and vacation.
  • Find out more about the benefits of working at Intel.
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