Agentic AI Architect

Job ID: SRJ_8879Posted: 2026-06-18Location: Austin, TXSalary: USD 145-150 / Yearly (Full Time) | USD 60-65 / Hourly (W-2)Employment Type: Full Time, W-2Industry: Computer SoftwareClient: WiproContact: Meghana GorusuCompany: SRI Tech SolutionsAgentic AI Architect Location: Austin, TXJob Description – AI Architect (GenAI / Agentic AI)Role SummaryWe are seeking an experienced AI Architect to design and lead end-to-end implementation of enterprise-grade Generative AI and Agentic AI solutions. The ideal candidate will have strong experience in LLMs, RAG pipelines, multi-agent systems, and scalable backend engineering, with proven capability in architecting production-ready AI platforms.Experience Required· 10+ years of overall software development experience· 3+ years in architecture / solution design rolesProven experience delivering enterprise-scale AI/GenAI solutionsKey ResponsibilitiesArchitecture & Design· Define and implement end-to-end AI/GenAI architecture covering:o LLM integrationRAG pipelinesMulti-agent orchestration frameworksDesign scalable, secure, and cost-efficient AI platforms and servicesEvaluate and select appropriate LLMs, frameworks, and toolchainsGenAI & LLM Solutions· Design and develop GenAI-powered applications using Python and modern frameworksImplement:o Prompt engineering strategieso Token optimization and token economicso Response grounding and evaluation frameworksIntegrate enterprise data sources into RAG pipelines and knowledge systemsAgentic AI / Multi-Agent Systems· Lead design and implementation of agent-based solutions, including:o Agent design & orchestrationAgent development and lifecycle managementAgent hardening, testing, and evaluationGovernance and monitoring frameworksBuild multi-agent ecosystems with role-based and task-based agentsPlatform & Integration· Develop and expose REST APIs and microservices for AI consumptionImplement:o Tool calling frameworkso Model Context Protocol (MCP) integrationso MCP server creation and managementIntegrate with enterprise platforms, workflows, and external APIsEngineering Excellence· Ensure best practices in:o Code quality, scalability, and performanceCI/CD for AI systems (LLMOps / MLOps)Security, governance, and complianceCollaborate with cross-functional teams (Data, Engineering, Product)Mandatory SkillsProgramming & Core Engineering· Strong expertise in PythonExperience building REST APIs and scalable backend systemsGenerative AI & LLMs· Hands-on experience with:o LLM integration (OpenAI, Azure OpenAI, etc.)o Prompt engineering and optimisationo GenAI-powered application developmentRAG & Knowledge Systems· Expertise in:o RAG pipeline design & implementationVector databases and semantic searchData chunking, indexing, and retrieval strategiesAgentic AI· Deep experience in:o Multi-agent systems architectureAgent orchestration frameworks (e.g., LangGraph, CrewAI, similar)Agent lifecycle: design → build → evaluate → governAdvanced AI Concepts· Tool calling and tool orchestrationToken usage optimisation and cost strategiesEvaluation frameworks for GenAI outputsMCP & Advanced Integrations· Experience with:o MCP integrationo MCP server setup and managementContext-aware AI system designGood to Have· Experience with LLMOps / MLOps practicesExposure to cloud AI platforms (Azure, AWS Bedrock, GCP Vertex AI)Knowledge of Graph RAG / hybrid retrieval systemsFamiliarity with enterprise security, governance, and compliance frameworksSRI Tech Solutions is an equal opportunity employer and does not discriminate on the basis of race, color, gender, religion, age, sexual orientation, national origin or citizenship status or ethnic origin, disability, marital status, veteran status, or any other occupationally irrelevant criteria.