Solution Sales Specialist - Artificial Intelligence (AI)
Remote
Information
As a Solution Sales Specialist - Artificial Intelligence (AI), you will be a technical solution expert within our worldwide AI commercial solution area organization working with strategic customers to help establish their AI Strategy, prioritizing key use cases that drive differentiated business outcomes. You will share Microsoft’s AI capabilities, roadmap and envision with customers how AI can transform and drive co-innovation in their business. You collaborate with a team of deep technical experts to build solutions that orchestrate large language models, Azure OpenAI services, vision, speech, machine learning using modern app development principles. You will work closely with customers in workshops to identify and prioritize use cases, design and build rapid prototypes and support minimum viable product (MVP) solution design to production deployment. You will be joining a team of highly skilled experts across the company who are driving some of the most strategic and innovative customer AI projects.
Company
Microsoft
Requirements
Required Qualifications
5+ years of technology-related sales or account management experience
OR Bachelor's Degree in Computer Science, Information Technology, Business Administration, or related field AND 4+ years of technology-related sales or account management experience.
AI Experience: 3+ years of AI (Machine Learning, Intelligent Apps/Agents, Search) selling experience in enterprise public cloud-based solutions.
Preferred Qualifications
4+ years of experience in enterprise solution selling. This includes stakeholder management, deep solution expertise, building credibility with a technical audience, Cxo communications, solution envisioning, and orchestration of a large, matrixed internal team.
Experience with building AI and machine learning solutions, Machine Learning Operation frameworks, and leveraging specific machine learning architectures (e.g., deep learning, LSTM, etc.).
Experience architecting and developing software or infrastructure for scalable, distributed systems and with machine learning technologies.
Excellent understanding of a typical AI, ML & App dev lifecycle and associated operations (Dev Ops, MLOps) for sustainable enterprise installations of cloud architecture
Familiarity with core machine learning concepts (ex: compute systems - GPU & FPGA, frameworks - TensorFlow & PyTorch, tools - Jupyter notebooks & VS Code, MLOps techniques etc.)
Experience with Responsible AI, in practice or theory.