Solutions Architect, Generative AI
Tribe AI
Software Engineering, IT, Data Science
Remote
Posted on Feb 23, 2024
Full-time
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
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 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