Senior GenAI Software Architect

Intel Corporation • Hillsboro, OR

1d • Hybrid

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.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees