AI Architect in United

Energy Jobline ZR; United (WV); On-site; USD 150,000 - 200,000; Full time

Job summary

Energy Jobline ZR is seeking an experienced AI Architect to lead the design and delivery of enterprise-grade AI solutions. You will drive technical strategy, own solution architecture, and collaborate with clients and stakeholders across the project lifecycle—from presales to delivery.

You will architect end-to-end systems, mentor teams, and participate in hiring. The role emphasizes production-ready, secure solutions aligned with enterprise standards and strong English communication.

Qualifications

• 8+ years of overall experience with 3+ years in AI/ML solution architecture.
• Hands-on expertise with Python, FastAPI, LangChain, LangGraph, and LangSmith.
• Strong experience with RAG architectures, vector databases, and Azure AI services (Azure AI Search, Azure Document Intelligence).
• Experience with evaluation concepts and frameworks such as RAGAS. Familiarity with LangSmith for observability, tracing, and evaluation of LLM applications.
• Proficiency with Microsoft Foundry and Azure-based AI/ML ecosystems.
• Solid understanding of API design (FastAPI, Swagger/OpenAPI), CI/CD, and cloud deployment.
• Proven track record in client-facing roles — requirements gathering, solution presentations, and stakeholder management.
• Experience in presales — writing proposals, responding to RFPs, and building PoCs.
• Excellent written and verbal communication skills in English.

Responsibilities

• Architect end-to-end AI solutions spanning RAG pipelines and document processing.
• Lead technical design using Foundry, Azure AI services, LangChain, LangGraph, and LangSmith.
• Translate client requirements into scalable architectures and present solutions confidently.
• Support presales: RFP responses, proposals, and solution demos.
• Prepare and present status reports and executive-level presentations for client and internal stakeholders.
• Mentor and guide the development team; conduct code reviews and enforce best practices.
• Participate in the hiring process — shortlisting candidates and conducting technical interviews.
• Ensure solutions are production-ready, secure, and aligned with enterprise architecture standards.

Skills

Python

FastAPI

LangChain

LangGraph

LangSmith

Azure AI services

RAG architectures

API design

CI/CD

Cloud deployment

Client-facing

Tools

Microsoft Foundry

Azure AI Search

Azure Document Intelligence

LangSmith

Job description

Job Description

We are looking for an experienced AI Architect to lead the design and delivery of enterprise-grade AI solutions. You will drive technical strategy, own solution architecture, and work closely with clients and stakeholders across the project lifecycle — from presales to delivery.

Key Responsibilities

• Architect end-to-end AI solutions spanning RAG pipelines, intelligent document processing, structured data extraction, and conversational AI.


• Lead technical design using Microsoft Foundry, Azure AI Search, Azure Document Intelligence, LangChain, LangGraph, and LangSmith.


• Collaborate with clients to understand requirements, translate them into scalable architectures, and present solutions confidently.


• Support presales activities including RFP responses, technical proposals, and solution demos.


• Prepare and present status reports and executive-level presentations for client and internal stakeholders.


• Mentor and guide the development team; conduct code reviews and enforce best practices.


• Participate in the hiring process — shortlisting candidates, conducting technical interviews, and evaluating fit.


• Ensure solutions are production-ready, secure, and aligned with enterprise architecture standards.

Required Skills & Experience

• 8+ years of overall experience with 3+ years in AI/ML solution architecture.


• Hands-on expertise with Python, FastAPI, LangChain, LangGraph, and LangSmith.


• Strong experience with RAG architectures, vector databases, and Azure AI services (Azure AI Search, Azure Document Intelligence).


• Experience working with evaluation concepts and frameworks such as RAGAS. Familiarity with LangSmith (or equivalent frameworks) for observability, tracing, and evaluation of LLM applications.


• Proficiency with Microsoft Foundry and Azure-based AI/ML ecosystems.


• Solid understanding of API design (FastAPI, Swagger/OpenAPI), CI/CD, and cloud deployment.


• Proven track record in client-facing roles — requirements gathering, solution presentations, and stakeholder management.


• Experience in presales — writing proposals, responding to RFPs, and building PoCs.


• Excellent written and verbal communication skills in English.

Nice to Have

• Experience with multi-agent orchestration frameworks.


• Exposure to structured data extraction from documents (invoices, contracts, reports).


• Prior experience with team management or technical leadership roles.