Agentic AI Architect

Job d:

Location:

Austin, TXSalary: USD 145-150 / Yearly (Full Time) | USD 60-65 / Hourly (W-2)

Employment Type:

Full Time, W-2

Industry: 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 integration RAG pipelines

Multi-agent orchestration frameworks

Design scalable, secure, and cost-efficient AI platforms and services

Evaluate and select appropriate LLMs, frameworks, and tool chains

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 framework so
Model Context Protocol (MCP) integration so
MCP server creation and management

Integrate with enterprise platforms, workflows, and external APIsEngineering Excellence
· Ensure best practices in:o
Code quality, scalability, and performance CI/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 development RAG & 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., Lang Graph, 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.