Agentic AI Architect
sri techAustin, TX
Job ID: SRJ_8879
Posted: 2026-06-18
Location: Austin, TX
Salary: USD 145-150 / Yearly (Full Time) | USD 60-65 / Hourly (W-2)
Employment Type: Full Time, W-2Industry: Computer Software
Client: Wipro
Contact: Meghana Gorusu
Company: SRI Tech Solutions
Agentic AI Architect Location: Austin, TXJob Description – AI Architect (GenAI / Agentic AI)
Role Summary:
We 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 roles Proven experience delivering enterprise-scale AI/GenAI solutions
Key Responsibilities:
- Architecture & Design· Define and implement end-to-end AI/GenAI architecture covering:o LLM integrationRAG pipelines
- Multi-agent orchestration frameworks
- Design scalable, secure, and cost-efficient AI platforms and services
- Evaluate and select appropriate LLMs, frameworks, and toolchains
- GenAI & LLM Solutions· Design and develop GenAI-powered applications using Python and modern frameworks
- Implement:o Prompt engineering strategieso Token optimization and token economicso Response grounding and evaluation frameworks
- Integrate enterprise data sources into RAG pipelines and knowledge systems
- Agentic AI / Multi-Agent Systems· Lead design and implementation of agent-based solutions, including:o Agent design & orchestration
- Agent development and lifecycle management
- Agent hardening, testing, and evaluation
- Governance and monitoring frameworks
- Build multi-agent ecosystems with role-based and task-based agents
- Platform & Integration· Develop and expose REST APIs and microservices for AI consumption
- Implement:o Tool calling frameworkso Model Context Protocol (MCP) integrationso MCP server creation and management
- Integrate 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 compliance
- Collaborate with cross-functional teams (Data, Engineering, Product)
- Mandatory Skills
- Programming & Core Engineering· Strong expertise in Python
- Experience building REST APIs and scalable backend systems
- Generative 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 & implementation
- Vector databases and semantic search
- Data chunking, indexing, and retrieval strategies
- Agentic AI· Deep experience in:o Multi-agent systems architecture
- Agent orchestration frameworks (e.g., LangGraph, CrewAI, similar)
- Agent lifecycle: design → build → evaluate → govern
- Advanced AI Concepts· Tool calling and tool orchestration
- Token usage optimisation and cost strategies
- Evaluation frameworks for GenAI outputsMCP & Advanced Integrations· Experience with:o MCP integrationo MCP server setup and management
- Context-aware AI system design
- Good to Have· Experience with LLMOps / MLOps practices
- Exposure to cloud AI platforms (Azure, AWS Bedrock, GCP Vertex AI)
- Knowledge of Graph RAG / hybrid retrieval systems
Familiarity 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.
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