Solutions Architect

AI Powered LLC
1 month ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

Tech stack

API
Artificial Intelligence
Amazon Web Services (AWS)
Azure
Cloud Computing
Continuous Integration
ETL
Data Systems
Python
SQL Databases
Systems Integration
Google Cloud Platform
Enterprise Software Applications
Backend
GIT
GraphQL
Api Design
Webhooks
Data Pipelines
Docker

Job description

This is a rare opportunity to work at the intersection of AI, enterprise software, and real-world industrial transformation. The team is looking for someone who enjoys being hands-on with code while also partnering directly with customers to design solutions that move from concept to production quickly. You'll collaborate closely with sales, product, and customer teams, acting as a technical leader who not only solves complex problems but also helps shape the future direction of the product. If you enjoy building things from scratch, working with cutting-edge AI workflows, and making a measurable impact on how large manufacturers operate, this role offers the chance to do exactly that., Tech Breakdown

  • 40% Python / Backend Development
  • 30% Data Pipelines & AI Integrations
  • 30% API Development & Cloud Infrastructure

Daily Responsibilities

  • 60% Hands On Development & Solution Architecture
  • 25% Team Collaboration with Sales, Product, and Customer Teams
  • 15% Pre-Sales Technical Support & Solution Design

The Offer

  • Bonus eligible

You will receive the following benefits:

  • Medical, Dental, and Vision Insurance
  • Vacation Time
  • Stock Options

Requirements

  • 5-10 years of experience delivering production-grade software or data solutions
  • Strong proficiency in Python and SQL
  • Experience building data pipelines and AI-driven solutions (ETL/ELT, vector stores, evaluation frameworks)
  • Hands-on experience with API integrations (REST/GraphQL), authentication models, and webhooks
  • Experience with cloud platforms and containerized environments (Docker, CI/CD)
  • Strong documentation, testing, and Git-based development workflows

Desired Skills & Experience

  • Experience working with manufacturing systems such as ERP, MES, or PLM
  • Familiarity with event-driven architectures
  • Experience deploying applications on AWS, Google Cloud Platform, or Azure
  • Background building integrations for enterprise or industrial customers

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