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The Sales and Marketing Group (SMG) leverages the product portfolio to drive Intel's revenue growth and market expansion, blending strategic initiatives with dynamic sales efforts to capture and retain customers. SMG is responsible for empowering the sales force with tools and insights needed to close deals and build lasting customer relationships. Sales analytics and market research ensure strategies are both targeted and impactful. In SMG, disciplined execution, creativity, and ambition are celebrated, providing ample opportunities for career advancement and skill development. Posting Statement All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance. Work Model for this Role This role is available as a fully home-based and generally would require you to attend Intel sites only occasionally based on business need. However, you must live and work from the country specified in the job posting, in which Intel has a legal presence. Due to legal regulations, remote work from any other country is unfortunately not permitted. Job posting details (such as work model, location or time type) are subject to change. Additional Information 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. If you are asked to pay any fees during our hiring process, please report this immediately to your recruiter.
Senior GenAI Software Architect
Location
United States
Posted
66 days ago
Salary
$170.5K - $315.5K / year
Seniority
Senior
Job Description
Senior GenAI Software Architect
Intel Corporation
• 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, customers, and ISVs 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 and expertise of AI frameworks, algorithms, models, and related hardware. • Research, develop, and adjust new or existing AI models, code, parameters, and/or quantization to enhance hybrid performance. • Serve as a trusted technical advisor and provide technical enabling. • Partner with Intel software and hardware product development teams to accelerate and optimize future products in AI and HPC domains.
Job Requirements
- Bachelor's degree in Computer Science, Software Engineering, Computer Engineering, Data Science, Artificial Intelligence/Machine Learning, Information Technology or related 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.
- Experience in GenAI algorithms, solution architecture, and performance tuning.
- Experience building custom AI tools, agents, or apps for real-world use cases.
- Python or C++ skills.
- Client AI tools, cross-platform agents, or plugin ecosystems.
- Agent orchestration, task routing, or scheduling systems.
- RAG pipelines, vector databases (e.g.,FAISS, Chroma), and embedding techniques.
- GenAI workloads for edge devices using xPU accelerators. X LLMs (e.g., Mistral, Llama) or fine-tuning open-source models.
- Customer/partner support for GenAI workflow design and deployment.
- Frameworks such as LangChain, LlamaIndex, AutoGen, HuggingFace, and other APIs.
- UX/UI or prompt engineering to improve human-AI interaction.
Benefits
- competitive pay
- stock bonuses
- health
- retirement
- vacation
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