AI Architect

VOLTO Consulting; Irving (TX); On-site; USD 150,000 - 190,000; Full time

Job summary

VOLTO Consulting seeks an Azure AI / Agentic AI Architect to design and implement enterprise AI solutions in Irving, TX. You will shape multi-agent architectures, data pipelines, and governance across the stack.

The role requires hands-on experience with Azure ML, OpenAI, Cognitive Services, AI search, MLOps, LangChain, and modern data platforms. You will partner with product and engineering teams to deliver scalable copilots and automation.

Qualifications

• Experience designing and implementing enterprise AI platforms on Azure.
• Strong background with multi-agent architectures and agentic AI concepts.
• Hands-on expertise with LangChain, LLM orchestration, and RAG pipelines.
• Proficiency in Python, REST APIs, and data engineering for AI workflows.
• Experience with modern data platforms and deployment tooling (Databricks, Synapse, Data Factory).
• Knowledge of governance, Responsible AI, and security in cloud AI environments.

Responsibilities

• Design Azure-based Agentic AI solutions and architectures.
• Architect enterprise AI platforms across interaction, orchestration, integration, model, and data layers.
• Develop multi-agent workflows including reasoning and tool/function calling.
• Integrate Generative AI, NLP, and ML models into enterprise apps.
• Develop RAG-based solutions using Azure AI Search.
• Build copilots, virtual assistants, and intelligent automation solutions.
• Evaluate AI/ML models for performance, scalability, and cost.
• Lead POCs and collaboration with product and engineering teams.
• Create architecture diagrams, technical docs, and deployment strategies.

Tools

Azure ML

Azure OpenAI

Azure AI Services / Cognitive Services

Azure AI Search

Agentic AI

LangChain

LangGraph

LangSmith

Semantic Kernel

Generative AI

LLMs

RAG

prompt engineering

Python

REST APIs

Vector databases

embeddings

semantic search

Databricks

Synapse

Data Factory

AKS

Docker

Kubernetes

GitHub

Azure DevOps

MLOps

LLMOps

Job description

Azure AI / Agentic AI Architect
Location: Irving, TX
Job Type: Full Time
We are looking for an Azure AI / Agentic AI Architect with strong experience in designing and implementing enterprise AI solutions using Azure technologies.
Required Skills

• Azure ML
• Azure OpenAI
• Azure AI Services / Cognitive Services
• Azure AI Search
• Agentic AI and multi-agent frameworks
• LangChain, LangGraph, LangSmith, or Semantic Kernel
• Generative AI, LLMs, RAG, and prompt engineering
• Python and REST APIs
• Vector databases, embeddings, and semantic search
• Databricks, Synapse, and Data Factory
• AKS, Docker, and Kubernetes
• GitHub / Azure DevOps
• MLOps / LLMOps

Responsibilities

• Design and implement Azure-based Agentic AI solutions.
• Architect enterprise AI platforms using Azure AI Foundry, Agent Services, APIs, and modern data pipelines.
• Develop multi-agent workflows including reasoning, tool/function calling, memory management, and agent-to-agent communication.
• Integrate Generative AI, NLP, and ML models into enterprise applications.
• Develop RAG-based solutions using Azure AI Search.
• Build AI solutions such as copilots, virtual assistants, intelligent automation, recommendation systems, and analytics platforms.
• Design scalable AI architecture across interaction, orchestration, integration, model, and data layers.
• Evaluate AI/ML models based on performance, scalability, cost, and use-case requirements.
• Implement security, governance, and Responsible AI practices using Azure capabilities.
• Implement monitoring, evaluation, observability, and LLMOps practices.
• Work with product, engineering, and business teams to translate requirements into scalable AI solutions.
• Create architecture diagrams, technical documentation, and deployment strategies.
• Lead POCs and innovation initiatives for AI use cases.

Preferred Experience

• Azure AI Foundry / Agent Services / Prompt Flow
• MLOps and LLMOps pipelines
• CI/CD and AI evaluation frameworks
• Databricks, Synapse, or modern data platforms
• Responsible AI and governance
• Healthcare or Pharma industry experience