CentralSquare

AI Architect (LangChain Ecosystem) - Remote

CentralSquare • $120K — $150K *
US-AnywhereRemote in United States
Information Technology
Less than 5 years of experience
1 month ago
Job Overview by Ladders

Qualifications

  • Bachelor's or Master's degree in Computer Science or related field, or equivalent experience
  • 1-2 years of relevant experience in Generative AI
  • 4-5 years of architecture experience focusing on RAG and GraphRAG pipelines
  • Strong expertise in designing system-level architecture for AI applications
  • In-depth knowledge of LangChain ecosystem and its applications
  • Proficiency in Python and TypeScript
  • Experience in the Public Sector is a plus

Responsibilities

  • Define and govern MCP server contracts and inter-agent messaging patterns
  • Architect end-to-end RAG and GraphRAG pipelines for AI applications
  • Design architecture including prompt lifecycle management and evaluation harnesses
  • Lead technical design reviews and mentor mid-level engineers
  • Collaborate with product and data teams to translate business needs into AI strategies
  • Build and maintain SDK layers and shared libraries for application teams
  • Drive evaluation frameworks to assess retrieval quality and task completion

Benefits

  • Opportunity to work at the intersection of applied research and platform engineering
  • Engagement with cutting-edge technologies in AI and LLM tooling
  • Mentorship and leadership opportunities for career advancement
  • Collaborative environment with cross-functional teams
  • Focus on innovation and development in AI architecture
Full Job Description
The Opportunity

We're looking for an AI Architect II to lead the design and delivery of intelligent systems built on modern LLM tooling. You will own the architecture of retrieval-augmented, agent-based, and graph-enhanced AI applications - from proof-of-concept through production - and serve as a technical authority across our AI infrastructure. This role sits at the intersection of applied research and platform engineering, requiring deep fluency with the LangChain ecosystem, emerging Model Context Protocol (MCP) standards, and scalable Python/TypeScript service design.

Core Responsibilities:
  • Define and govern MCP server contracts, tool manifests, and inter-agent messaging patterns across multi-agent workflows built on LangChain/LangGraph.
  • Architect end-to-end RAG and GraphRAG pipelines - from embedding strategy, vector store selection, and graph construction through retrieval orchestration and context-window management
  • Design system-level architecture for AI applications, including prompt lifecycle management, evaluation harnesses, observability hooks, and guardrail layers.
  • Lead technical design reviews, establish AI engineering best practices, and mentor mid-level engineers on LLM application patterns.
  • Partner with product and data teams to translate business problems into retrieval and reasoning strategies; prototype rapidly and document architectural decisions.
  • Build and maintain Python and TypeScript SDK layers, agent tooling, and shared libraries consumed by application teams.
  • Drive evaluation frameworks - RAGAS, LangSmith tracing, and custom evals - to measure retrieval quality, hallucination rates, and task completion.
  • Stay current with frontier model capabilities, contribute to model selection criteria, and surface architecture changes required by new API or context-window evolutions.
Skills & Requirements
Requirements:
  • Bachelors or Masters (preferred) in Computer Science, or similar, or equivalent experience
  • 1-2 years of relevant work experience with Gen AI
  • 4-5 years of architecture experience, particularly with RAG and GraphRAG pipelines
  • Strong skillset in designing system level architecture for AI applications
  • Expert knowledge of LangChain ecosystems
  • Expert knowledge of Python and TypeScript
  • Bonus points for Public Sector experience
Qualifications

About CentralSquare

CentralSquare is a software company that provides public safety and public administration software solutions. Their products are used by over 7,500 organizations in North America, including police departments, fire departments, and local governments. CentralSquare's software allows for real-time communication and collaboration between different agencies and departments, improving response times and overall efficiency. The company was founded in 2018 and is headquartered in Tampa, Florida.
Learn more about CentralSquare
Size
5,000 employees
Industry
Enterprise Technology
Founded
1981
* Ladders Estimates

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