Senior AI Solution Area Specialist Full-time

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Responsibilities (Text Only)

– Win new AI engagements by providing deep solution expertise and business value, delivered via customer workshops (1:1, 1: many) creating commitment for minimum viable products (MVPs). These MVPs enable business and technical decision makers to leverage and build AI powered applications using Azure Machine Learning, Azure AI Services including Open AI models, and Azure Applied AI services (60% of your time).
– Increase customer value in targeted accounts, enabling AI engagements by demonstrating technical depth and solution expertise. You will leverage a portfolio of suggested use cases in targeted scenarios, including best practices for industry application, solution value and specialized co-sell solutions, all of which help to accelerate time to market and customer’s digital transformation. (20% of your time).
– Build and Enable solution selling expertise across mainstream sellers, being a trusted coach and model seller, leading with a technical solution sales approach, orchestrating partners, engineering, and championing the voice of customer, partner and field to global stakeholders. (20% of your time).

Qualifications (Text Only)

Required/Minimum Qualifications:
– Technology-related sales or account management experience
– OR Bachelor’s Degree in Computer Science, Information Technology, Business Administration, or related field AND technology-related sales or account management experience.

– AI Experience: AI (Machine Learning, Intelligent Apps/Agents, Search) selling experience in enterprise public cloud-based solutions.
– The ability to travel to customer sites
– The ability to speak English and German at a professional business level
Additional or Preferred Qualifications:
– 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.
– Strong 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.
This role will require travel to customer sites.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form.

Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.