Senior Gen AI Software Solutions Engineer
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Job Description
Senior Gen AI Software Solutions Engineer developing hybrid collaboration AI systems at Intel. Defining AI workload orchestration for optimized performance across environments.
Responsibilities:
- Build the hybrid AI collaboration layer connecting local AI and cloud AI
- Design dynamic orchestration for planning, routing, and execution
- Optimize AI workflows for latency, cost, privacy, and reliability
- Enable agent-based systems with local planning and hybrid execution
- Partner with product, systems, and runtime teams to ship production-ready platforms
- Engage with industry-leading AI providers for co-engineering
- Work with internal engineering teams and external partners to deliver optimized AI solutions using Intel products
- Research technical trends and utilize deep domain expertise to prototype solutions and develop AI software
- Optimize performance of AI models through deep knowledge of AI frameworks, algorithms, and models
- Serve as a trusted technical advisor and provide technical enabling
- Partner with Intel software and hardware product development teams to optimize future products in AI and HPC domains
- Deliver competitive and differentiated benchmark collateral and identify and drive key workloads into product requirements.
Requirements:
- Bachelor's degree in STEM field
- 8+ years hands-on experience on AI/ML algorithm development
- 4+ years of 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 or C++ skills
- Problem-solving skills with a results-driven, customer-focused mindset
- Familiarity with client AI tools, cross-platform agents, or plugin ecosystems
- Experience with RAG pipelines, vector databases (e.g.,FAISS, Chroma), and embedding techniques
- Experience optimizing GenAI workloads for edge devices using xPU accelerators
- 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
- Experience with frameworks such as LangChain, LlamaIndex, AutoGen, HuggingFace, and other APIs
- Experience in UX/UI or prompt engineering to improve human-AI interaction.
Benefits:
- Competitive pay
- Stock bonuses
- Benefit programs which include health, retirement, and vacation
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