AI Architect

Siri InfoSolutions Inc; San Jose (CA); On-site; USD 170,000 - 230,000; Full time

Job summary

Siri InfoSolutions Inc in San Jose, CA is seeking an AI Architect with 9–12 years of experience to design and lead GenAI, LLM apps, and orchestration across environments.

You will work onsite from day one at a customer location, collaborating with engineering, security, and operations to ensure scalable, reliable, and secure AI solutions.

Qualifications

• Strong architecture experience with GenAI, LLM applications, RAG, vector search, agentic AI, and multi-agent orchestration.
• Experience with frameworks such as LangGraph, LangChain, CrewAI, AutoGen, LlamaIndex, or equivalent.
• Strong understanding of enterprise system design, including distributed architecture, event-driven design, API-first design, HA/DR, observability, and security.
• Experience with tool/function calling, workflow orchestration, agent state management, prompt management, and model governance.
• Knowledge of network operations concepts such as incidents, alarms, telemetry, topology, RCA, configuration drift, change management, and remediation.
• Experience with cloud-native architecture, Kubernetes, microservices, CI/CD, secrets management, and API gateways.
• Strong stakeholder communication skills for leadership, engineering, operations, security, and business teams.

Skills

GenAI

LLM applications

RAG

vector search

agentic AI

multi-agent orchestration

LangGraph

LangChain

CrewAI

AutoGen

LlamaIndex

Distributed architecture

API-first design

HA/DR

Observability

Security

Tool/function calling

Workflow orchestration

Prompt management

Model governance

Telemetry

Kubernetes

Cloud-native architecture

CI/CD

Secrets management

API gateways

Stakeholder communication

Tools

Kubernetes

CI/CD

Job description

Role : AI Architect

Location : San Jose, CA

Exp : 9 to 12 Years

Onsite/ Remote: Day 1 Onsite at customer location

Required Skills:

• Strong architecture experience with GenAI, LLM applications, RAG, vector search, agentic AI, and multi-agent orchestration.
• Experience with frameworks such as LangGraph, LangChain, CrewAI, AutoGen, LlamaIndex, or equivalent.
• Strong understanding of enterprise system design, including distributed architecture, event-driven design, API-first design, HA/DR, observability, and security.
• Experience with tool/function calling, workflow orchestration, agent state management, prompt management, and model governance.
• Knowledge of network operations concepts such as incidents, alarms, telemetry, topology, RCA, configuration drift, change management, and remediation.
• Experience with cloud-native architecture, Kubernetes, microservices, CI/CD, secrets management, and API gateways.
• Strong stakeholder communication skills for leadership, engineering, operations, security, and business teams.

Preferred Skills:

• Experience with telecom, service provider, data center, or large enterprise infrastructure environments.
• Experience defining responsible AI frameworks, model risk controls, agent evaluation standards, and audit-safe AI workflows