AI Automation Architect

Envision Technology Solutions; Minnesota; On-site; USD 140,000 - 200,000; Full time

Job summary

Envision Technology Solutions is seeking an experienced AI Automation Architect to design, develop, and implement AI-driven automation solutions across business processes. You will lead PoCs, build scalable workflows with LLMs and intelligent agents, and integrate AI with enterprise systems.

The role requires hands-on expertise in Python, REST APIs, LangChain/LangGraph/CrewAI, and cloud platforms (AWS/Azure/GCP). Strong communication and governance practices are essential.

Qualifications

• Strong experience in AI/ML, Generative AI, and automation architecture.
• Hands-on experience with LLMs such as OpenAI GPT, Claude, or Gemini.
• Proficiency in Python, REST APIs, and system integration.
• Experience with AI agent frameworks such as LangChain, LangGraph, or CrewAI.
• Knowledge of RAG, vector databases, embeddings, and semantic search.
• Experience with workflow automation platforms such as n8n, UiPath, Power Automate, or Make.
• Understanding of cloud platforms such as AWS, Azure, or GCP.
• Knowledge of SQL, databases, and enterprise application integration.
• Strong understanding of system design, scalability, and security best practices.
• Excellent analytical, problem-solving, and communication skills.

Responsibilities

• Design and implement end-to-end AI automation architectures for business processes.
• Develop AI-powered workflows using LLMs, Generative AI, and intelligent agents.
• Build and orchestrate AI agents using frameworks such as LangChain, LangGraph, and CrewAI.
• Integrate AI solutions with enterprise applications, APIs, databases, and cloud platforms.
• Implement workflow automation using tools such as n8n, Power Automate, UiPath, or Zapier.
• Design Retrieval-Augmented Generation (RAG) solutions using vector databases and embedding models.
• Develop scalable solutions using Python and REST APIs.
• Evaluate and optimize AI models for accuracy, performance, cost, and reliability.
• Implement security, governance, monitoring, and responsible AI practices.
• Collaborate with business stakeholders, developers, and data teams to translate business requirements into technical solutions.
• Lead AI proof of concepts (PoCs), solution deployment, and production support.

Skills

AI/ML

Generative AI

Automation architecture

LLMs

Python

REST APIs

LangChain

LangGraph

CrewAI

RAG

Vector databases

Embeddings

Semantic search

n8n

UiPath

Power Automate

Make

AWS

Azure

GCP

SQL

Tools

LangChain

LangGraph

CrewAI

REST APIs

Python

Job description

We are seeking an experienced AI Automation Architect to design, develop, and implement intelligent automation solutions using AI, Generative AI, Large Language Models (LLMs), and workflow automation platforms. The ideal candidate will identify business automation opportunities, architect scalable AI-driven solutions, and integrate AI capabilities with enterprise systems to improve operational efficiency and productivity.

Key Responsibilities

• Design and implement end-to-end AI automation architectures for business processes.
• Develop AI-powered workflows using LLMs, Generative AI, and intelligent agents.
• Build and orchestrate AI agents using frameworks such as LangChain, LangGraph, and CrewAI.
• Integrate AI solutions with enterprise applications, APIs, databases, and cloud platforms.
• Implement workflow automation using tools such as n8n, Power Automate, UiPath, or Zapier.
• Design Retrieval-Augmented Generation (RAG) solutions using vector databases and embedding models.
• Develop scalable solutions using Python and REST APIs.
• Evaluate and optimize AI models for accuracy, performance, cost, and reliability.
• Implement security, governance, monitoring, and responsible AI practices.
• Collaborate with business stakeholders, developers, and data teams to translate business requirements into technical solutions.
• Lead AI proof of concepts (PoCs), solution deployment, and production support.

Required Skills & Qualifications

• Strong experience in AI/ML, Generative AI, and automation architecture.
• Hands‑on experience with LLMs such as OpenAI GPT, Claude, or Gemini.
• Proficiency in Python, REST APIs, and system integration.
• Experience with AI agent frameworks such as LangChain, LangGraph, or CrewAI.
• Knowledge of RAG, vector databases, embeddings, and semantic search.
• Experience with workflow automation platforms such as n8n, UiPath, Power Automate, or Make.
• Understanding of cloud platforms such as AWS, Azure, or GCP.
• Knowledge of SQL, databases, and enterprise application integration.
• Strong understanding of system design, scalability, and security best practices.
• Excellent analytical, problem‑solving, and communication skills.

Preferred Qualifications

• Experience implementing multi‑agent AI systems.
• Knowledge of Docker, Kubernetes, and CI/CD pipelines.
• Experience with AI observability, evaluation, and LLMOps.
• Familiarity with enterprise architecture and API management.