Remote Senior AI Architect & Platform Builder

Conch Technologies, Inc.; Minnesota; Remote; USD 180,000 - 260,000; Full time

Job summary

Conch Technologies, Inc. is seeking a Senior AI Architect who can both design AI platforms and write production code. You will own end-to-end AI architecture across AWS, Azure, and GCP, and personally drive critical builds from prototype to production.

You will lead hands-on development of AI-powered applications, agents, and data pipelines, while shaping governance, MLOps, and responsible AI practices in a fast-paced, collaborative environment.

Qualifications

• 15+ years in software engineering with AI/ML focus.
• Hands-on architect who writes production code.
• Deep Python expertise for AI/ML development.
• Strong experience across AWS/Azure/GCP AI platforms.
• Experience with agent-based AI systems and orchestration.
• Proven ability to translate business requirements into scalable AI architectures.

Responsibilities

• Define end-to-end AI solution architecture across cloud platforms.
• Hands-on design, build, and ship AI-powered applications and pipelines.
• Architect agentic AI systems using LangChain/LangGraph.
• Lead full-stack efforts (Python/Node.js) powering AI products.
• Evaluate and operationalize foundation models from major providers.
• Establish MLOps and AgentOps practices including CI/CD and monitoring.
• Champion Responsible AI with governance and explainability tooling.
• Drive adoption of AI-native development tools across the team.
• Translate business requirements into robust AI architectures for engineers.

Skills

Python for AI/ML

Full-stack development

MLOps

Cloud platforms

AI architecture

Strong communication

Node.js/TypeScript

Tools

LangChain

LangGraph

Anthropic Claude

OpenAI

Hugging Face

AWS Bedrock

GCP Vertex AI

Credo AI

Fiddler

GitHub Copilot

Devin

Windsurf

Job description

Conch Technologies, Inc. is seeking a Senior AI Architect who can both design AI platforms and write production code. You will own end-to-end AI architecture across AWS, Azure, and GCP, and personally drive critical builds from prototype to production.

You will lead hands-on development of AI-powered applications, agents, and data pipelines, while shaping governance, MLOps, and responsible AI practices in a fast-paced, collaborative environment.