Agentic AI Solution Architect

Role: Agentic AI Solution Architect

Location: Remote

Duration: 12+ Months

 

Must Have:

• Agentic AI Solution Architecture
• LangGraph / Multi-Agent Orchestration Frameworks
• Generative AI, LLMs, RAG & Prompt Engineering
• Python Development
• Azure OpenAI, Azure AI Search & Azure AI Services
• API, Microservices & Event-Driven Architecture
• Java/Spring Boot and React
• OCR/IDP, Intelligent Automation & Workflow Engineering
• AI / Generative AI
• Intelligent Automation
• Enterprise Digital Transformation
• Document Processing & Workflow Automation
• Supply Chain / Manufacturing experience is a plus

 

Must Have Certifications:

• Azure AI Engineer Associate (Preferred)
• Azure Solutions Architect Expert (Preferred)
• AI/ML Certifications (Preferred)

 

Role Summary:

• The Software Solution Architect II will lead the architecture, design, and delivery of enterprise-scale Agentic AI and Intelligent Automation solutions. This role is responsible for defining end-to-end architecture across AI services, agent orchestration, workflows, document processing, integrations, data platforms, security, observability, DevOps, and cloud-native deployment. The architect will work closely with business and technology stakeholders to translate requirements into scalable, secure, and production-ready solutions.

 

Responsibilities:

• Own end-to-end architecture covering AI services, agent orchestration, workflows, document processing, integrations, data platforms, user interfaces, security, observability, DevOps, and deployments.
• Translate business and non-functional requirements into solution architectures, data flows, deployment models, integrations, and technical standards.
• Design and lead hands-on development of tool-using agents using LangGraph or equivalent agent orchestration frameworks.
• Define agent roles, tools, memory, state management, routing, retries, fallback mechanisms, and workflow termination strategies.
• Architect multi-agent systems for search, extraction, classification, conversational AI, recommendations, decision support, and workflow automation.
• Design human-in-the-loop validation, approval workflows, escalations, governance controls, AI guardrails, confidence scoring, and responsible AI patterns.
• Architect RAG solutions, semantic/vector search, prompt engineering frameworks, structured outputs, AI evaluation methodologies, and OCR/IDP pipelines.
• Design API-first and event-driven integrations with enterprise applications, document repositories, email systems, external platforms, knowledge bases, and legacy systems.
• Guide Azure cloud-native solution development using Python, Java/Spring Boot, React, Azure AI services, storage, identity, monitoring, and CI/CD pipelines.
• Lead architecture reviews, code reviews, technical decision-making, risk assessments, production readiness, observability strategies, and knowledge transfer activities.

 

Requirements:

• Bachelor's or Master's degree in Computer Science, Engineering, Information Technology, Data Science, or a related field.
• 10+ years of experience in Software Engineering, Solution Architecture, Cloud Architecture, Data Engineering, AI Engineering, Integration, or Enterprise Delivery.
• 3+ years of experience designing and delivering AI, Machine Learning, Generative AI, Intelligent Automation, or Advanced Analytics solutions.
• Proven hands-on experience developing agentic AI solutions with tool-using agents, stateful orchestration, approvals, exception management, and recovery workflows.
• Strong expertise in:
• Large Language Models (LLMs)
• Retrieval-Augmented Generation (RAG)
• Prompt Engineering
• Structured Outputs
• Semantic & Vector Search
• AI Evaluation Frameworks
• AI Guardrails & Responsible AI
• Experience architecting OCR/IDP, Conversational AI, Email Intelligence, Classification Engines, Recommendation Systems, and Workflow Automation solutions.
• Strong knowledge of APIs, Microservices, Event-Driven Architecture, Security, Data Platforms, Observability, and DevOps.
• Experience with Azure OpenAI, Azure AI Search, Azure AI Services, Azure Storage, Azure Identity, Azure Monitoring, Python, and cloud-native application development.
• Proven ability to lead distributed engineering teams and collaborate effectively with business and technical stakeholders

 

 

 

 

 

 

 

In compliance with the salary transparency law, the expected pay range for this role is $50 – $70/hr. Actual compensation depends on experience and interview evaluation.