Principal Architect – Generative AI (15+ Years)

BlackCube Labs; Northern (KY); Hybrid; USD 180,000 - 260,000; Full time

Job summary

BlackCube Labs is seeking a Principal Architect – Generative AI to lead the design and delivery of enterprise-scale GenAI, Conversational AI, and Agentic AI solutions on cloud platforms. This role requires guiding architecture decisions and ensuring scalable, secure deployments.

You will mentor engineering teams, define AI observability and governance standards, and partner with customers to drive AI transformation across complex enterprise environments. Remote work within the USA is supported.

Qualifications

• 15+ years in software engineering or enterprise architecture.
• Proficiency in Generative AI and Agentic AI.
• Strong Python programming skills.
• Experience with LangGraph, CrewAI, ADK, and RAG architectures.
• Experience with API integrations and microservices.
• Customer-facing leadership 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 apps, 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

Software Architecture

Generative AI

Agentic AI

Python

RAG & Vector Databases

LangGraph / CrewAI / ADK

Conversational AI

APIs & Microservices

Customer-facing Leadership

Education

Master's/PhD in CS, AI, or related field

Job description

Location:Remote,USA

Experience: 15+ Years

Role Summary

Seeking a Principal Architect – Generative AI with 15+ 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)
• API Integration & Microservices
• Customer-facing leadership experience

Preferred

• Master's/PhD in CS, AI, or related field
• Telecom or Contact Center domain experience