Full-Time

Architect/Director for AI Acceleration

P536

Updated on 5/8/2024

84.51 Degrees

84.51 Degrees

1,001-5,000 employees

Retail data science for personalized shopper experiences

Data & Analytics
Consumer Goods

Senior, Expert

Remote in USA + 4 more

Required Skills
Microsoft Azure
Agile
Data Structures & Algorithms
AWS
Google Cloud Platform
Requirements
  • Bachelor’s Degree or higher and relevant certifications in technology and/or project management
  • 7+ years of experience working in infrastructure/cloud and/or software development
  • 7+ years of experience using advanced algorithms, programming languages, or technologies
  • 4+ years of experience in tech consulting, retail, or related professional services preferred
  • Strong knowledge and skill in cloud computing solutions, technologies, and trends
  • Hands-on experience in delivery and support of cloud services in a hybrid or multi-cloud architecture using at least two major cloud providers (AWS, Azure, GCP, OCI)
  • Extensive, hands-on experience with modern software development concepts such as CI/CD, service-oriented architecture, infrastructure as code, and/or containerization
  • Experience with and understanding of machine learning and AI principles and development processes
  • Strong experience leading and operating in a lean, agile environment with distributed teams
  • Excellent communication skills, particularly on technical topics
  • Comfort with independent learning of new technologies, and willingness to jump into using unfamiliar tools
  • High level of independence; ability to make time-sensitive decisions rapidly and solve urgent problems without escalation
  • Strong time and project management skills; the ability to balance multiple, simultaneous work items and prioritize as necessary
  • Demonstrated success in working collaboratively across technology and governance roles to develop, implement, and operate systems that improve processes & efficiencies, and support business strategies
Responsibilities
  • Architect end-to-end AI solutions, considering business objectives, data availability, and technical constraints
  • Partner with Data Scientists, Engineers, and Product talent to ensure our platform strategy delivers against requirements, scope, and system deployment need
  • Employ solid change management, performance measurement, automation, and well thought out solution implementation methodologies to ensure AI Acceleration platform architecture is stable and reliable
  • Implement industry best practices, acquired from your background or through monitoring of industry standards for your horizontal team and function to improve current processes
  • Represent the AI Acceleration team in the formulation, influence, and implementation of company business system architecture plans, assessing cost and feasibility of system requests, and ensuring the plan supports both strategic and near-term needs
  • Create comprehensive documentation for AI architectures, models, and processes
  • Leverage a servant leadership approach in the recruiting, motivating, mentoring, and growing world-class teams and creating followership that as a leader, teams want to work with
  • Communicate effectively with both technical and non-technical colleagues at all levels in both verbal and written communications and preparing and presenting strategic visions and presentations to executive leadership team
  • Build relationships with key partners within the Kroger Technology organization to share best practices, help accelerate the growth of both organizations, and deliver joint initiatives as appropriate

84.51° stands out as an excellent workplace due to its focus on leveraging advanced science and first-party retail data to deliver personalized shopper experiences. This retail data science company is deeply embedded in understanding consumer behavior, which puts it at the forefront of the industry in terms of both knowledge and technology. Such a dynamic and technically sophisticated environment provides a stimulating workplace for professionals looking to advance in data science and retail marketing.

Company Stage

M&A

Total Funding

$5.5M

Headquarters

Cincinnati, Ohio

Founded

2015

Growth & Insights
Headcount

6 month growth

0%

1 year growth

6%

2 year growth

25%