Senior AI Solutions Architect: Azure, LangChain & Low-Code

WTW

Pateros

On-site

PHP 2,400,000 - 3,600,000

Full time

14 days+

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Job summary

WTW is seeking an experienced Solution Architect to partner with IT leadership, translating complex business needs into scalable, production-grade AI architectures across pro-code Azure solutions and low-code platforms. You will drive MVP scoping, architecture governance, observability, and developer guidance while modernizing LangChain/LangGraph pipelines and RAG systems.

You will lead an architecture practice focused on cloud-native patterns, integration, and enterprise guardrails, guiding

Qualifications

  • Proven ability to translate complex business needs into scalable AI/architectural solutions.
  • Experience designing cloud-native, enterprise-scale applications for AI workloads.
  • Strong emphasis on governance, security, and observability in AI systems.

Responsibilities

  • Engage with internal clients to discover use cases and define MVP scope.
  • Own end-to-end architectures for pro-code Azure apps, low-code Power Platform, and AI platforms.
  • Lead design of multi-agent AI frameworks, RAG systems, and observability strategies.
  • Modernize LangChain/LangGraph pipelines and ML assets toward production-grade architecture.
  • Define backend APIs, integrations, and enterprise connectors aligned with M365, ERP, and HR systems.
  • Embed observability: logging, tracing, evaluation, monitoring for AI systems.

Skills

Stakeholder communication
Cloud architecture
Architectural governance
Observability design

Education

Bachelor's degree in CS/Engineering

Tools

LangChain
LangGraph
Azure OpenAI
Copilot Studio
M365

Job description

WTW is seeking an experienced Solution Architect to partner with IT leadership, translating complex business needs into scalable, production-grade AI architectures across pro-code Azure solutions and low-code platforms. You will drive MVP scoping, architecture governance, observability, and developer guidance while modernizing LangChain/LangGraph pipelines and RAG systems.

You will lead an architecture practice focused on cloud-native patterns, integration, and enterprise guardrails, guiding

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