Microsoft Customer Solutions Architect 

United States, Washington 

680449760

robotics, torapidly ideate and prototype their future technologiesthrough rapid iterations of engagements, either onsite or virtually.

This role in the AI, DataEmerging Technologiessolution architectingand the hands-on operations of the

, who has hands-onwho are thought leaders in the realm ofData Science, have thorough understanding of Statistical & Stochastic Modeling, Deep Learning,Cloud Architectures,AI Engineers

Required/Minimum Qualifications

• Bachelor's Degree in Computer Science, Engineering, Supply Chain, or related field AND 4+ years experience in technical program/product management, coding, software development/delivery work
  • OR equivalent experience.
• 2+ years of customer-facing experience.
• 4+ years of experience designing and developing AI solutions in cloud environments

Additional or Preferred Qualifications

• Master's Degree in Computer Science, Engineering, Supply Chain, or related field AND 8+ years experience in technical program/product management, coding, or software development/delivery work
  • OR equivalent experience.
• 3+ years of customer-facing experience- understanding and curating strategic business transformations and innovation initiatives deeply. Translate Business Issues and requirements into AI architectures. Augment value propositions for business through AI Interventions – AI strategies, interventions, programs, and engagements. Partner with Business/PM Stakeholders for Demand Generation.
• 8+ years of experience in Data Science/AI/ML development, with a proven track record of delivering highly scalable, observable, and secure AI products. With experience in ML/Data Science frameworks and toolkits such as scikit-learn, PyTorch, NumPy, Pandas, OpenCV, Keras, TensorFlow, and/or Matplotlib.
• 5+ years of experience architecting Data/AI/ML solutions- navigate through Data Science Lifecycle, Statistical Model Building - Descriptive, Predictive, Prescriptive, AI/ML System Design & Architecture, Sampling, Feature Engineering, Dimensionality Reduction, Principal Component Analysis, Supervised, Unsupervised & ML Techniques & Models.
• 2+ years of professional experience with Natural Language Processing, Traditional & Foundation Models (LLM, SLM), Vector Databases, Retrieval Augmented Generation, Opinion & Sentiment Analytics, Forecasting, Recommendation Systems, Anomaly Detection,  XGBoost, Random Forest, and/or Ensemble Modeling .
• 5+ years of experience developing solutions in the cloud using tools such as AzureML, Azure AI Platform, Databricks, and/or Azure Cognitive Services.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:Microsoft will accept applications for the role until December 24, 2024.

• Elicit, design, and develop scalable, reliable, cloud-native AI/ML products – Foundational & Traditional ML Models.
• Be inquisitive, understand data & data imputation techniques, perform hypothesis testing, evidence based statistical & stochastic modeling, analysis & insights and able to find/discover the story in the data sets and provide a coherent narrative about key data insights.​ Transform the insights into intelligence.
• Apply best practices of cloud-native AI/ML model development, leverage relevant libraries/APIs, feature engineer, principal component analysis, choose the right model for a given domain/business problem context.
• Write performance & cost-efficient modular code and drive end-to-end life cycle of ML Model development to solve complex problems and create innovative solutions.
• Communicate effectively with stakeholders and present technical vision and solutions to small to large audiences.
• Provide technical guidance and mentorship to the team and foster a culture of collaboration, excellence, and growth mindset.
• Rapid agility with Proof of Concepts, especially with emerging technologies, concepts and frameworks in AI and ML.

Knowledge, Skills, and Abilities

• Collaboration: Work with cross-disciplinary teams to drive strategic customer/partner projects to a success through the lab program.
• Influence: Ability to influence and drive results in a complex technical and business environment, including various stakeholders across functions (such as engineering, business development, Microsoft for Startups, marketing, sales, services, finance and legal). Learn to additionally influence external stakeholders across corporate and partner organizations.
• Execution: Demonstrated track record of owning projects or programs from early concept design through tracking of key results. This includes defining objectives and coming up with new ways to scale impact over time.
• Agility: Ability to contribute consistently and positively in a high-paced, fast-changing, ambiguous, and sometimes unpredictable work environment.
• Customer Obsessed: Brings a customer and partner first mindset and knowledge of technology, start-ups, and corporate innovation to authentically engage senior executives and drive results.
• Key interpersonal traits: Motivation, creativity, adaptability, curiosity, continuous learner, resourcefulness, unquestionable ethics & integrity, exemplary organizational skills and high attention to detail.
• The ability to quickly and clearly understand and articulate new technologies and business value to others.
• Some business or technical experience with cloud computing, application development, and machine learning/AI principles.