System Analyst (AI) - Job Description

What you'll do

Design and specify internal services for AI agents and the tooling that powers the organization’s internal AI transformation. This is primarily a technical/systems analysis role — translating business needs into clear specifications for AI-agent services, internal automation tools, and AI-enabled workflows — combined with a readiness to take on project coordination and delivery-management tasks when needed. The role also involves owning multiple parallel initiatives across different teams, ensuring alignment with business goals, timelines, and technical constraints.

Current Technology Stack

Node.js, Nest.js, JS/TS, TypeORM, PostgreSQL, AWS, React, Next.js, SCSS, Java, plus LLM/agent frameworks (e.g. MCP), prompt/agent orchestration tools, vector databases, LangChain or other agent SDKs, internal automation and workflow platforms, AI coding assistants (Claude Code, Cursor, etc.)

Responsibilities

• Translate business and product needs into system specifications for AI-agent services and internal tooling;
• Design end-to-end logic for AI-agent services, including integrations with internal systems and third-party AI/LLM platforms;
• Define API interactions, data structures, and integration requirements for AI-agent and automation services;
• Document workflows, data flows, and system behavior using structured methodologies and diagramming tools;
• Support engineering teams during implementation; clarify requirements and validate delivered functionality against intent, ensuring system behavior matches business requirements and defined specifications;
• Analyze existing internal processes and propose where AI agents/automation can increase efficiency, reliability, and scalability;
• Assist in defining data requirements and basic SQL/analytical queries to support reporting on AI initiative outcomes;
• Plan and track delivery of AI-agent services and AI-transformation initiatives; manage timelines, dependencies, and risks;