Cloud Solutions Architect

Provides AI technical expertise to Intel sales teams, external partners, and end customers. Acts as a key technology trusted advisor and thought leader to the technical sales teams, while driving vision, value, and strategy around technical solutions. Understands the business use case and technical merits of a solution, coowns relationships with customer/partner decisionmakers to solve complex challenges across system(s) and influences the customers purchasing decision for specific accounts. Supports Intel sales professionals, including those in technical sales roles, in design and deal win engagements by delivering Intel platform and portfolio value propositions and providing ongoing technical support on product briefings. Understands competitive landscape to deliver usecase based benchmarks and drive customer driven technical incubations. Supports customer design win needs and facilitates product and program updates. Liaises with BUs to relay roadmap, product, program and technical updates to field sales and external partner teams. Plans and implements training roadmap, assets, schedule, availability, and delivery. Articulates the voice of customer back to product development teams to help define platform enabling, roadmap, program, samples, and other enabling requirements. Note: This is a commissioned sales position.

**Qualifications**:
Minimum Qualifications:

- Master's degree or higher degree in Computer Engineering, Electrical Engineering, Computer Science, Information Technology, Engineering or related.

3+ years of experience in one or more of the following:

- Building AI models (Deep Learning/GenAI) using PyTorch/TensorFlow and/or low-level language/libraries.
- Hands on capability of AI inference and training on prem and/or on the cloud environment with GPU/CPU including multiple nodes AI processing environment and data pre-processing.
- Advanced PyTorch/Tensorflow programming including benchmarking experience, TCO assessment and performance optimization.
- Deep model knowledge on vision AI and generative AI (LLM).
- AI deployments at scale in the edge and across verticals (healthcare, FSI, retail, manufacturing etc)
- Prior usage or experience with Intel tools like IPEX, ITEX, ITREX, oneAPI tools, OpenVino, Analytics Zoo is a plus
- Business level English, excellent written and oral communication skills

**Inside this Business Group**:
Intel's Sales and Marketing (SMG) organization works with global customers and partners to solve critical business problems with Intel based technology solutions. SMG works across business units to amplify the customer voice and deliver solutions that accelerate their business. We work across numerous industries, including retail, enterprise and government, cloud services and healthcare as examples. The operations team focuses on forecasting, driving alignment with factory production and delivering efficiency tools and our marketing capability drives demand and localized marketing in locations around the globe. Our sales force navigates a complex partner and customer ecosystem while shaping product roadmaps, driving value for our customers, and collaborating to harness emerging technology trends to deliver comprehensive solutions.

**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.

**Benefits**:
We offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock, bonuses, as well as, benefit programs which include health, retirement, and vacation. Find more information about all of our Amazing Benefits here.

**Working Model**:
This role will be eligible for our hybrid work model which allows employees to split their time between working on-site at their assigned Intel site and off-site. **In certain circumstances the work model may change to accommodate business needs.**
JobType

Hybrid