AI/ML Principal Solution Architect

posted on September 22, 2020

Job Description

Location: Portland, OR

Duration: Permanent


  • Evangelize break through AI/ML solutions, specifically passionate about consumer analytics, driving personalization for Client consumers across a broad spectrum of experiences
  • Architect and design advanced analytics solutions to power marketing communication and segmentation
  • Guide engineering teams to build AI/ML foundational services such as fraud detection, automated tagging, and A/B testing
  • Partner with Product and Engineering leadership to build standard framework and patterns for feature engineering, model building, training, and serving
  • Participate in design and engineering of data science applications solutions that have significant strategic impact and achieve long term competitive advantage for Client.
  • Accept and influence domain driven design and architecture principles of security, privacy, scale, uptime and reliability
  • Partner with business leaders to provide expert technical advice and influence strategic decision making
  • Guide and mentor engineering teams to raise collective technical expertise
  • Demonstrate a strong bias for architecture principles balanced with tactical timelines, cost and risks
  • Contribute to architecture guiding principles, development standards, training and hiring
  • Bachelor’s degree in Computer Science or related subject area
  • 3+ years in technology architect or engineering leadership roles
  • 3+ years of experience in the field of Machine Learning, AI, Deep Learning
  • 5+ years providing technical leadership to technical, business & multi-functional teams
  • 7+ years in hands-on experience in software engineering with depth in data and analytics
  • Experience with model development, management, and deployment in production
  • A solid understanding and experience managing high volume, variety and velocity data such as telemetry data from sensors, clickstream or unstructured data like images and speech
  • Experience implementing AI/ML applications such as recommendations, forecasts, and sentiments
  • Solid experience in software development in languages like Java, Python etc. Experience working with RESTful API and streaming.  (BOTH ARE MUST HAVES)
  • Strong understanding of data and analytics solution architecture, including experience with Big Data, Relational databases, real time and batch data processing
  • Experience leading enterprise cloud/virtual architectures like AWS, Microsoft Azure, etc.
  • Demonstrated track record of leading within sophisticated organizations requiring strong influence leadership skills – ability to work in coordination with all levels in matrix environment
  • Exceptional collaboration, listening, written and verbal communication skills with ability to facilitate technology strategy, requirements and architecture conversations with all partners (management, business users, and technology resources)


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