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.

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

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

AI/ML algorithm developmentNLPGenAI algorithmsPythonC++agent orchestrationRAG pipelinesvector databasesembedding techniquesUX/UI engineering

Soft Skills

technical advisorcollaborationcommunicationpartner supportproblem-solvingresearchoptimizationplanningexecutiontrustworthiness

Certifications

Bachelor's degree in Computer ScienceBachelor's degree in Software EngineeringBachelor's degree in Computer EngineeringBachelor's degree in Data ScienceBachelor's degree in Artificial IntelligenceBachelor's degree in Machine LearningBachelor's degree in Information Technology