AI Systems Architect; Consultant

AI Systems Architect (Consultant or Full-Time)
Company: CPGBuyer

AI (by Beverage Trade Network)

Location:

Remote / India (open to global talent)
Engagement:
Consultant (Initial Trial) or Full-Time

About CPGBuyerAI
CPGBuyer

AI is an AI-powered buyer discovery and sales intelligence platform for wine, beer, spirits, and broader CPG brands. We build production-grade AI systems that ingest messy real-world data, enrich it using AI agents, and deliver explainable, auditable buyer intelligence that customers trust and act on.

AI architecture and data design are core to the product — not support functions.

Role Overview
We are hiring an  AI Systems Architect  who can join either as a  consultant or full-time , with flexibility to start in a consulting capacity and transition into a full-time role based on delivery and fit.

This role is for someone who designs and builds real AI systems — not demos or experiments. You will work closely with the founder and engineering team to own the architecture behind CPGBuyer

AI’s AI agents, data pipelines, and production infrastructure.

Key Responsibilities

AI Systems & Architecture
Design the end-to-end AI systems architecture (agents, pipelines, APIs, storage)
Architect multi-agent workflows (buyer matching, QA, enrichment, outreach, signals)
Decide when to use rules, LLMs, embeddings, or traditional ML
Design guardrails, retries, fallbacks, and quality checks for AI outputs

Data & AI Infrastructure
Design AI-ready data storage (raw data, canonical entities, AI outputs, events)
Implement AI output versioning with full auditability
Work with Postgres, object storage, vector databases, and caching layers
Ensure explainability and traceability of AI decisions

Production & Scaling
Move AI workflows from “works” to “reliable”
Optimize cost, latency, and accuracy for LLM usage
Design batch vs real-time processing flows
Monitor AI performance, failures, and data quality

Engineering & Collaboration
Write production-quality backend code (Python / Type Script preferred)
Collaborate closely with product and engineering teams
Guide architectural standards and implementation decisions

What We’re Looking For

Must-Have
2 Years Experience building production AI systems (not research-only)
Strong systems and architectural thinking
Hands-on backend engineering capability

Experience with multi-agent or complex AI workflows
Ownership mindset and clear communication

Good to Have
Cloud experience (AWS / GCP / Azure)

Experience with vector databases and embeddings

Experience with SaaS or data-heavy platforms

Why Join CPGBuyerAI
Work on a real AI-first SaaS product
High ownership and architectural influence
Flexible engagement model (consultant or full-time)
Opportunity to shape the AI foundation of the platform