AI/ML Principal Solution Architect - CEDENT

Portland, OR

About the Job

Title: AI/ML Principal Solution Architect@ Boston, MA
Terms of Hire: Full Time.
Salary: $ Open K/ YR + Benefits.

Job description
If you're ready to innovate and lead in the Solution Architecture space, join Client’s Enterprise Architecture organization! You will be part of an organization that is revolutionizing Client technology platforms and architecting a technology landscape that is simplified, modern, flexible and will ultimately enable Client on its journey to 2020 and beyond.
The Principal Solution Architect will provide leadership in architectural planning and in driving solutions across multiple domains/ solution areas, contributing to the future success of the business through innovations in technology. A person in this role 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 supply 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 ideal candidate for this role will have a passion for all things data and analytics and an outstanding ability to provide strategic advantage for Client through innovative solutions.
Responsibilities:

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

Qualifications:
Requirements for the Position include:

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.
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)