AI Architect

Role: AI ArchitectLocation: Charlotte, NC, Houston, TX, Raleigh, NC, Richardson, TX, Tempe, AZType: FTERequired Skill and ExperienceExperience in core development, with strong architecture and engineering knowledge with hands-on experience designing LLM-powered applications, AI agents, multi-agent systems, agent orchestration, Model Context Protocol (MCP) integrations, reusable AI Skills, Managed Agents, and Retrieval-Augmented Generation (RAG) solutions.Proficiency in Python, FastAPI, LangChain and working experience AI Cloud Services like Azure AI Services, OpenAI.Define the end-to-end architecture for enterprise GenAI and Agentic AI solutionsDesign single-agent and multi-agent architectures, including orchestration, routing, delegation, handoffs, collaboration, and human-in-the-loop patternsDesign Model Context Protocol (MCP) integration architectures that securely expose enterprise data, APIs, tools, and capabilities to AI agents.Define reusable Skills, tools, prompts, and agent capabilities that can be shared across multiple agents and business use cases.Design solutions using Managed Agents / hosted agents and enterprise AI platformEvaluate and recommend frameworks such as LangGraph, LangChain, AutoGen, Semantic Kernel, or equivalent agent orchestration frameworks.Establish architectural controls for guardrails, security, observability, logging, tracing, governance, auditability, and responsible AITake ownership of individual stages of the AI development lifecycle (data pre-processing, model training, evaluation, optimization, or deployment) and understand how they connect end to end.Collaborate with data scientists, software engineers, and product managers to understand project requirements, and flag technical feasibility concerns early.Stay curious about advancements in generative AI research and share learnings with the team.Follow and promote responsible AI practices, with awareness of bias mitigation, fairness, and traceability.Participate in code reviews, both receiving feedback and reviewing peers’ code, to help maintain quality standards.Support POCs for new technologies, taking responsibility for defined parts of the work.Comfortable working in a fast-paced and agile environment.Good collaboration and communication skills.Preferred Skill and ExperienceMaster’s degree in computer science, Artificial Intelligence, or a related field (or equivalent experience).Experience in cloud-based platforms like Azure & Microsoft / Azure AI servicesExperience in Fine tuning Open-Source AI ModelsStrong understanding of one or more Domain expertise and associated Industry standardsIndustry-acclaimed External Certifications, if applicableActive participation in Technology forumsContribution to Open-Source Community.