AI Solution Architect – GenAI / Agentic AI

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

We are looking for an experienced AI Solution Architect with a strong software engineering background and hands-on expertise in Python, Generative AI, LLMs, RAG, and Agentic AI orchestration.The ideal candidate will have 10+ years of experience designing scalable, enterprise-grade systems, with a strong understanding of Domain-Driven Design (DDD), Event-Driven Architecture (EDA), and modern AI architectures.Candidates who have designed and delivered AI-powered solutions in production, rather than architects whose experience is limited to strategy, presentations, or proof-of-concept projects.

Location: Remote From Poland

Language: Polish and English

Contract type: B2B only

Key Responsibilities

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

Required Skills & Experience

• 10+ years of experience in software engineering, solution architecture, or technical leadership.
• Strong architectural expertise in Domain-Driven Design (DDD) and Event-Driven Architecture (EDA).
• Advanced Python development skills, including backend services and API development.
• Hands-on experience with Large Language Models (LLMs) and enterprise GenAI applications.
• Strong experience designing and implementing Retrieval-Augmented Generation (RAG) solutions.
• Practical experience with LangGraph (LG) and LangChain (LCH).
• Proven expertise in Agentic AI orchestration, including autonomous agents, multi-agent systems, tool calling, and workflow coordination.
• Strong knowledge of microservices, REST APIs, distributed systems, and integration patterns.
• Experience designing AI solutions for production environments.