AI Architect

Siri InfoSolutions Inc; Plano (TX); On-site; USD 140,000 - 210,000; Full time

Job summary

Siri InfoSolutions Inc seeks an AI Architect to design and implement Agentic AI and multi-agent workflows across software development, testing, and operational processes.

You will build GenAI solutions on enterprise platforms, optimize cost and latency, and ensure security and governance in production environments.

Qualifications

• Experience architecting AI agents and GenAI pipelines.
• Strong knowledge of enterprise APIs, integration, and cloud deployments.
• Ability to design scalable, secure AI frameworks for production use.

Responsibilities

• Architect and implement Agentic AI and multi-agent solutions across software dev, testing, and workflows.
• Design intelligent agents capable of reasoning, planning, and human-in-the-loop support.
• Define an enterprise-ready GenAI framework for development and testing.
• Build GenAI solutions on enterprise LLM platforms with focus on cost, latency, and security.
• Implement RAG-based solutions using APIs, embeddings, and vector search.
• Govern API automation and enable CI/CD with AWS deployments and monitoring.
• Ensure governance, data privacy, security, and responsible AI with human approval.

Skills

Python

REST APIs

Agentic AI

AI agents

Tool calling

Workflow orchestration

Prompt engineering

RAG

Embeddings

Vector search

CI/CD

AWS Cloud

Tools

OpenSearch

Pinecone

Job description

Job Title: AI Architect

Location: Plano, TX

Duration : Full Time permanent Position

Job Description

Must Have Technical/Functional Skills

• Python
• REST APIs and enterprise integration
• Agentic AI, AI agents, tool calling, and workflow orchestration
• Prompt/context engineering
• RAG, embeddings, vector search
• AWS Cloud
• CI/CD and auto

Roles & Responsibilities

• Architect and implement Agentic AI and multi-agent solutions for software development, testing, test automation, defect analysis, and operational workflows.
• Design intelligent agents capable of reasoning, planning, using enterprise tools/APIs, and supporting human-in-the-loop decision-making.
• Define an enterprise-ready framework for Agentic AI, GenAI, development, and testing.
• Design and build GenAI solutions using enterprise LLM platforms such as GPT and Claude, with focus on cost, latency, security, and scalability.
• Implement RAG-based solutions using requirements, user stories, APIs, configurations, Guidewire artifacts, and test repositories; leverage embeddings and vector search where applicable.
• Architect and govern API automation using RestAssured, Postman/Newman, and SoapUI.
• Enable CI/CD integration, cloud-based deployments on AWS, and monitoring of AI applications, agents, and workflows.
• Ensure adherence to enterprise AI governance, data privacy, security, responsible AI, and human approval requirements.

Generic Managerial Skills, If any

• LangChain, LangGraph, Semantic Kernel, AutoGen, CrewAI, or equivalent agent frameworks
• Amazon Bedrock, Azure OpenAI, or other enterprise AI platforms
• Vector databases such as OpenSearch, Pinecone, Weaviate, or pgvector
• Data Structures & Algorithms
• OOP and modular design

Domain Experience

• P&C Insurance (mandatory / strong preference)
• Guidewire: PolicyCenter, ClaimCenter