AI Solutions Architect

I design AI systems that
survive production

Md Jahid Hasan — architecting LLM applications, autonomous agents, RAG pipelines and n8n automation for enterprise system integration. From proof-of-concept to hardened, observable deployments.

What I do

AI capability, end to end

One hand from architecture to delivery — so systems ship, integrate and keep working.

LLM Application Architecture

Production-grade LLM apps: prompt and context design, structured output, evaluation harnesses, guardrails, caching and cost control.

AI Agents & Multi-Agent Systems

Tool-using agents and orchestrated multi-agent workflows with planning, memory, retries and human-in-the-loop checkpoints.

RAG & Knowledge Retrieval

Chunking, embeddings, hybrid search and re-ranking pipelines that stay accurate as the corpus grows.

Workflow Automation (n8n)

Event-driven automation connecting CRMs, databases, queues and APIs — with observability and error handling built in.

Enterprise System Integration

Wiring AI into existing stacks: auth, data boundaries, audit logging, rate limits and safe rollouts.

Selected work

Enterprise RAG Assistant

Company-wide knowledge assistant over 200k+ documents with hybrid retrieval, inline citations and role-based access. Placeholder case study.

Multi-Agent Research Pipeline

Autonomous research crew that plans, gathers, verifies and drafts — with human approval gates.

n8n Automation Suite

120+ workflows replacing manual ops across sales, finance and support.

LLM Observability Layer

Tracing, evals, cost dashboards and regression alerts for every model call.

Document Intelligence API

Extraction and classification service handling messy PDFs at scale.

0+
AI systems shipped
0+
Years in ML & automation
0+
Automations deployed
0+
Enterprise integrations

How the practice grew

Trajectory

📊2019

Machine Learning & Data

Built forecasting and classification models; learned what breaks between notebook and production.

⚙️2021

Automation Engineering

Designed event-driven pipelines and internal tools; standardised on n8n for orchestration.

🧠2023

LLM & RAG Systems

Shipped the first retrieval-augmented assistants and structured-output services.

🏗️2024

AI Solutions Architect

Owned architecture for agentic systems and enterprise AI rollouts end to end.

🚀2025

Enterprise AI Delivery

Focused on evaluation, observability and safe integration at organisation scale.

How I work

A predictable path from idea to running system.

🔍01

Discovery & scoping

Clarify the job-to-be-done, constraints, data and success metrics before any code.

✏️02

Architecture & prototype

Design the system, then prove the risky parts with a thin vertical slice.

🔧03

Build & integrate

Implement against real systems — auth, data boundaries, queues, APIs.

🛡️04

Evaluate & harden

Eval sets, guardrails, load and failure testing, cost and latency budgets.

📦05

Deploy & hand over

Ship with dashboards, runbooks and a team that can operate it without me.

What collaborators say

Placeholder quotes — swap for real ones.

Frequently asked

Have an AI project that needs to actually ship?

Tell me the problem and the constraints. I'll tell you the shortest credible path to a running system.

Get in touch

The more context you give, the more useful my first reply will be.

M
Md Jahid Hasan

AI Solutions Architect — LLMs, autonomous agents, RAG, and n8n automation for enterprise system integration.

© 2026 Md Jahid Hasan. All rights reserved.

Md Jahid Hasan