Solution Architect – Generative AI

BlackCube Labs; Northern (KY); Hybrid; USD 170,000 - 240,000; Full time

Job summary

BlackCube Labs is seeking a Principal Architect to lead the design and delivery of enterprise-grade GenAI, Conversational AI, and Agentic AI solutions on cloud platforms.

The role requires 15+ years in software architecture, deep GenAI expertise, and hands-on python development. You will define standards, mentor teams, and guide customers through AI transformation while collaborating across enterprise data systems.

Qualifications

• 15+ years in Software Engineering/Architecture.
• Experience delivering GenAI/Agentic AI at enterprise scale.
• Strong Python development background and production-grade systems experience.

Responsibilities

• Architect and deliver production-grade GenAI and Agentic AI solutions.
• Design multi-agent systems using LangGraph, CrewAI, ADK, and RAG architectures.
• Integrate AI solutions with enterprise applications, APIs, and data platforms.
• Lead technical discovery sessions and advise customers on AI transformation.
• Define AI observability, governance, performance, and security standards.
• Mentor engineering teams and drive best practices for AI adoption.

Skills

Generative AI

Agentic AI

Python

Conversational AI

Tools

LangGraph

CrewAI

ADK

RAG & Vector Databases

Dialogflow CX

CCAI

CES

Job description

Seeking a Principal Architect – Generative AI with 10+ years of experience to lead the design and delivery of enterprise-scale GenAI, Conversational AI, and Agentic AI solutions on cloud platforms.

Key Responsibilities

• Architect and deliver production-grade GenAI and Agentic AI solutions.
• Design multi-agent systems using LangGraph, CrewAI, ADK, and RAG architectures.
• Integrate AI solutions with enterprise applications, APIs, and data platforms.
• Lead technical discovery sessions and advise customers on AI transformation.
• Define AI observability, governance, performance, and security standards.
• Mentor engineering teams and drive best practices for AI adoption.

Must-Have Skills

• 15+ years in Software Engineering/Architecture
• Generative AI & Agentic AI
• Python
• RAG & Vector Databases
• LangGraph / CrewAI / ADK
• Conversational AI (Dialogflow CX, CCAI, CES)