Remote GenAI & Agentic AI Solution Architect

Senovo IT Ltd; United States; Remote; USD 180,000 - 260,000; Full time

Job summary

Senovo IT Ltd seeks an experienced AI Solution Architect with hands-on Python and GenAI expertise to design enterprise-grade AI systems. The role focuses on DDD/EDA-driven architectures, LLM integrations, and robust agent orchestration for production-ready solutions.

Ideal candidates will have 10+ years in software engineering or solution architecture, with deep knowledge of RAG and multi-agent workflows. This is a remote role with collaboration across time zones and a strong emphasis on

Qualifications

• 10+ years in software engineering or solution architecture.
• Strong expertise in DDD and EDA.
• Hands-on Python development for backend services.
• Experience with LLM-based GenAI and production systems.
• Proven knowledge of RAG pipelines and agent orchestration.

Responsibilities

• Design scalable GenAI and Agentic AI solutions for production.
• Define architecture using DDD, EDA, microservices, distributed systems.
• Build AI agents, multi-agent workflows, and orchestration frameworks.
• Architect LLM-based apps, RAG pipelines, and automation.
• Provide hands-on leadership in Python development.
• Integrate AI components with existing enterprise systems and data platforms.
• Ensure scalability, security, reliability, performance, and maintainability.
• Lead technical discussions, code reviews, and best practices.
• Guide teams through production deployment of AI solutions.

Skills

Python

DDD

EDA

LLMs

RAG

Agentic AI

API development

Microservices

Distributed systems

Python backend

Tools

LangGraph (LG)

LangChain (LCH)

Job description

Senovo IT Ltd seeks an experienced AI Solution Architect with hands-on Python and GenAI expertise to design enterprise-grade AI systems. The role focuses on DDD/EDA-driven architectures, LLM integrations, and robust agent orchestration for production-ready solutions.

Ideal candidates will have 10+ years in software engineering or solution architecture, with deep knowledge of RAG and multi-agent workflows. This is a remote role with collaboration across time zones and a strong emphasis on