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South Park Commons Fund
South Park Commons Fund

Technical Solutions Architect (Sales) - AI

Tribe AI

Tribe AI

Software Engineering, IT, Sales & Business Development, Data Science
Posted on Friday, February 23, 2024


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

Tribe AI is looking for a talented Solutions Architect to lead our Sales team to incubate, pilot, and deploy custom Generative AI technologies with our clients. In this role, the Solutions Architect will play a key role in identifying practical use cases and applications for advanced AI technologies and supporting the sales team by providing technical expertise in cutting-edge AI solutions. This will involve close collaboration with clients to understand and scope AI-driven solutions in real-world scenarios.

Key responsibilities:

  • Help clients understand which problems to solve with AI and how to solve them from a technical perspective
  • Advise the sales team and client on technical complexity and scope of projects
  • 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 sales strategy and internal product development
  • Collaborate in scoping tools and methodologies for mid-market and enterprise AI applications
  • Communicate and design reference architectures and solution frameworks that scale across projects


  • 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 and presentation 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