About the job
Join Tribe AI as an AI Solutions Architect
At Tribe AI, we are dedicated to empowering enterprises to unlock the transformative potential of AI. Many large organizations aspire to integrate AI into their operations, yet often lack the necessary expertise. This is where we step in.
As a pioneering AI-native services firm, we collaborate with enterprises to design and implement top-tier AI solutions that generate tangible business outcomes. Our close partnerships with industry leaders like OpenAI and Anthropic provide us with unparalleled insights into cutting-edge models and strategic roadmaps.
Your Role
In the capacity of an AI Solutions Architect, you will bridge the gap between state-of-the-art AI capabilities and the practical needs of enterprises. Working alongside our internal AI specialists and General Managers, you will assess client requirements, identify impactful AI use cases, and craft customized solutions that are ready for deployment.
This position goes beyond mere demonstrations; you will engage in technical discovery, evaluate architectural decisions, and offer clarity in uncertain situations, often validating concepts through rapid prototyping. Collaborating with leading model labs like OpenAI and Anthropic, you will navigate constraints and validate methodologies to harness emerging AI capabilities effectively.
Key Responsibilities:
- Conduct technical discovery sessions with clients to identify workflows, limitations, data realities, and success metrics, translating these into actionable technical plans.
- Design and implement comprehensive AI systems that integrate Generative AI and traditional machine learning when necessary, covering data ingestion, orchestration, evaluation, deployment, and user experience.
- Create and present rapid prototypes that translate abstract concepts into tangible solutions, mitigating risks associated with cost, latency, reliability, integration feasibility, and quality thresholds.
- Develop reference architectures and technical frameworks that showcase the potential of current and emerging AI technologies.
- Guide clients through the AI ecosystem, discussing capabilities, limitations, trade-offs, and operational considerations for deploying AI systems effectively over time.
- Collaborate with sales teams to articulate technical concepts into compelling value propositions, proposals, business cases, and presentations.
- Specify technical requirements and scalable architecture patterns for production-grade systems, focusing on security, governance, observability, evaluation, and reliability.

