Job Details

Principal Solution Architect – AI/ML (CORPORATION)

Atlanta, GA, United States
  • Employment Type: Direct Hire
Our client, a world leader in the retail space, is seeking a Principal Solution Architect – AI/ML to join their growing team. The Principal Solution Architect will provide leadership in architectural planning and in driving solutions across multiple solution areas, as well as contributing to the future success of the business through innovations in technology. The Architect will be responsible for leading opportunity identification and analysis, problem definition, and overseeing the development and deployment of advanced analytic tools and methods within the Enterprise Architecture organization.This role, along with engineering leaders within Analytics, will lead and contribute to the definition of an overarching analytics strategy and architecture that will align analytics investments with the highest impact areas, while producing a suite of complementary models, tools, and technologies. The successful candidate will have a passion for all things data and analytics paired with exceptional collaboration, listening, written and verbal communication skills. The ability to facilitate technology strategy, requirements and architecture conversations with all partners is required. Send resumes to [email protected].

RESPONSIBILITIES:
  • Evangelizes break through AI/ML solutions, specifically passionate about consumer analytics, driving personalization for consumers across a broad spectrum of experiences
  • Architects and designs advanced analytics solutions to power marketing communication and segmentation
  • Guides engineering teams to build AI/ML foundational services such as fraud detection, automated tagging, and A/B testing
  • Partners with Product and Engineering leadership to build standard framework and patterns for feature engineering, model building, training, and serving
  • Participates in design and engineering of data science applications solutions that have significant strategic impact and achieve long term competitive advantage
  • Embraces and influences domain driven design and architecture principles of security, privacy, scale, uptime and reliability
  • Partners with business leaders to provide expert technical advice and influence strategic decision making
  • Guides and mentors engineering teams to raise collective technical expertise
  • Demonstrates a strong bias for architecture principles balanced with tactical timelines, cost and risks
  • Contributes to architecture guiding principles, development standards, training and hiring

QUALIFICATIONS:
  • Bachelor's degree in Computer Science or related subject area
  • Experience in technology architect or engineering leadership roles
  • Experience in the field of Machine Learning, AI, Deep Learning
  • Significant experience providing technical leadership to technical, business & multi-functional teams
  • Significant 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
  • 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 cooperatively at 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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