Our Mission:
Cloud-only AI is hitting real limits—cost, latency, privacy, and scale. We’re building the next generation of Hybrid Collaboration AI systems, where local AI and cloud AI collaborate as one. This role is about defining how AI workloads are intelligently planned, routed, and executed across environments.
If you want to shape the architecture that moves AI beyond cloud-only constraints, this role sits right at the center.
Responsibilities will include but are not limited to:
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.
Works with internal engineering teams and external partners, customers, and ISVs to deliver optimized AI solutions using Intel products with the goal of driving adoption of Intel products.
Researches technical trends and utilizes deep domain and market segment expertise to prototype solutions and develop AI software to enable hybrid collaboration AI
Optimizes performance of AI models through deep knowledge and expertise of AI frameworks, algorithms, models, and related hardware.
Problem-solving skills with a results-driven, customer-focused mindset.
Researches, develops, and adjusts new or existing AI models, code, parameters, and/or quantization to address issues and modify operations to enhance hybrid performance.
Partners with AI algorithm and framework engineers as needed to optimize end-to-end AI models to Intel hardware features.
Serves as a trusted technical advisor and provides technical enabling.
Partners with Intel software and hardware product development teams to accelerate and optimize future products in AI and HPC domains by leading application reenabling and product hardening.
Delivers competitive and differentiated benchmark collateral and identify and drive key workloads into product requirements and architect innovative projection methodologies and tools.
You must possess the below minimum qualifications to be initially considered for this position. Preferred qualifications are in addition to the minimum requirements and are considered a plus factor in identifying top candidates.
Minimum Qualifications:
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.
Preferred Qualifications:
Experience in the following:
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.
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.
Annual Salary Range for jobs which could be performed in the US: $170,500.00-315,490.00 USD
The range displayed on this job posting reflects the minimum and maximum target compensation for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific compensation range for your preferred location during the hiring process.
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.The application window for this job posting is expected to end by 03/24/2026*
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.