Data & AI Lead building Regenified’s regenerative agriculture data platform. Developing Snowflake and dbt pipelines, integrations, analytics, and AI tools for food supply chains.
About the role
- AI Architect designing and evolving Trader Interactive’s AI platforms and architectures. Focus on connecting data, machine learning, and large language models for marketplace solutions.
Responsibilities
- Designing and evolving Trader Interactive’s AI platforms and reference architectures
- Connecting data, machine learning, and large language models into real products that help buyers and sellers of RVs, boats, powersports, airplanes, trucks, and equipment
- Evaluating and selecting AI tooling and platforms (LLMs, vector stores, feature stores, orchestration, observability)
- Providing technical mentorship to data scientists and engineers through design reviews, pairing on critical paths, and clear architectural documentation
- Continuously scanning the AI landscape and recommending technologies that improve product performance, developer velocity, or cost
- Partnering with Security, Legal, and Compliance to define and enforce responsible AI guardrails
- Designing AI solutions that run reliably in production
- Implementing the systems and processes needed to manage model lifecycle
- Collaborating across Product, Engineering, Analytics, and Sales to turn fuzzy ideas into concrete AI use cases
Requirements
- 10+ years of experience building software, data, or distributed systems
- Strong experience working with cloud-native architectures (AWS preferred) and modern data platforms (e.g., Snowflake/Redshift/BigQuery, streaming/queues, APIs, microservices)
- Deep understanding of applied machine learning and/or LLM-based systems: data preparation, feature engineering, training and inference patterns, evaluation, and monitoring in production
- Hands-on familiarity with at least some of the following: vector databases, RAG patterns, prompt engineering/guardrails, model registries, feature stores, workflow orchestration, and observability for ML/AI
- Relevant training and/or certifications in cloud, data, or ML/AI architecture (or equivalent real-world track record of shipping AI systems at scale)
- Ability to move comfortably between high-level architecture (C-suite and product discussions) and low-level detail (API contracts, data models, performance constraints)
- Clear, concise communication style — able to explain complex AI systems to non-technical stakeholders without overselling or hand-waving.
Benefits
- An inclusive and supportive work environment
- Flexible leave options
- Up to 31 days of paid time off in your first year
- Continuing education with access to LinkedIn Learning
- A full benefits package including medical, dental & vision
- 401K with company match
- Wellness program
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