Software Solution Architect II with Agentic AI & Intelligent Automation

Hello Everyone,

Hope you are doing good!!!!

My name is Pavan and I work with SPAR Information System., I have a great opportunity for you, please find the job details below, if you are interested in applying please send me your updated resume and best time for you to discuss about this opportunity in details.

Job Title: Software Solution Architect II Agentic AI & Intelligent Automation
Location: Remote (US)

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.

Key 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.

Required Qualifications
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

Thanks & Regards,

Pavan Raikhelkar

LEAD TALENT ACQUISITION SPECIALIST

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