- 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, co-owns 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.
Minimum qualifications are required 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:
- 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.
- Experience on Data and model distributed training and inference development. Candidate must have good knowledge/hands-on experience on optimized data/model distribution through CCL (Collective Communication Lib), Open MPI, DeepSpeed, and/or Kubernetes.
- 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
Requirements listed would be obtained through a combination of industry relevant job experience, internship experiences and or schoolwork/classes/research.
