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Technical Solutions Architect (Fulfillment) - AI

Tribe AI

Tribe AI

Software Engineering, IT, Data Science
Remote
Posted on Friday, February 23, 2024

Location: Remote (with preference for San Francisco, CA or New York, NY based candidates)

Job Description

Tribe AI is looking for a talented Technical Solutions Architect to provide oversight to the fulfillment team and help incubate, pilot, and deploy custom Generative AI technologies with our clients. In this role, the Technical Solutions Architect will play a key role in identifying optimal solutions to use cases and applications and overseeing the technical implementation of these solutions, ensuring that they are built to the highest standards, for production, in a way that drives business value.

Key responsibilities:

  • Help the fulfillment teams align on an optimal solution for the problem they are solving, using best practices and previous experience
  • Help the fulfillment teams align with the client on which problems needs to be solved, and which resources will be used to solve it (data)
  • Solving ongoing, technical misalignments between the fulfillment team and the client
  • Support with staffing (understanding technical requirements and translating them for staffing needs)
  • Carrying out AI and product research as needed to make sure we stay ahead of the curve
  • Ensure we are building production-oriented AI products that add business value whenever we can
  • Provide technical guidance and ensure we are leveraging Tribe AI’s internal products wherever possible
  • Aggregate insights from client needs to inform our technical implementation strategy and internal product development
  • Collaborate in scoping tools and methodologies to deliver superior outcomes for mid-market and enterprise AI applications
  • Communicate and design reference architectures and solution frameworks that scale across projects

Qualifications:

  • MSc in Computer Science, Software Engineering, ML Engineering, or related fields, or equivalent experience.
  • 5+ years of experience in ML model development and deployment
  • Experience developing production LLM powered applications and tools with natural language interface at scale
  • Excellent communication skills to collaborate with clients and internal Tribe AI team members
  • Excellent proficiency in Python and familiarity with ML frameworks like PyTorch or TensorFlow.
  • Excellent practical knowledge of Generative AI and the ever-evolving LLM ecosystem.

Ways to stand out from the crowd:

  • Experience in customer-facing roles and the ability to scope projects and estimate required effort to build end-to-end applications
  • Ability to train BERT, GPT, and other open source language and ML models
  • Experience with information retrieval systems and RAG applications
  • Familiarity with MLOps life cycle and experience with LLM Ops workflows
  • Expertise with production cloud infra on AWS, Azure, and GCP