AI Architect

Digitalzone•New York, NY

About The Position

We're hiring an AI Architect to sit at the intersection of engineering, AI, and business strategy. You'll work across departments: Sales, Marketing, Ops, Product, Finance, to identify inefficiencies, design AI-powered workflows, and build solutions that make our teams faster, smarter, and more aligned. This is not a research role; it's a builder role with a strong strategy lens. You'll own the question: "Are we building the right things, in the right way, for the right outcomes?"

Requirements

Recent graduate from IIT / IIM (or equivalent) with a background in Engineering and exposure to AI/ML.
Minimum of 2 years experience building AI
Strong technical foundation: Python, familiarity with LLMs, APIs, prompt engineering, and modern AI tooling.
Sharp business instincts — you can sit in a Sales review and a code review on the same day and contribute meaningfully to both.
A bias for action: you'd rather ship a v1 in two weeks than write a deck about a v3 in two months.
Excellent communication — you can explain a transformer to a CFO and ROI to an engineer.
Curiosity, ownership, and comfort with ambiguity.

Nice To Haves

Internships or projects involving cross-functional problem solving.
Hands-on experience with workflow tools or BI tools.
A side project, paper, or hackathon win that shows you build things.

Responsibilities

Partner with department leads to map existing processes and identify high-leverage opportunities for AI and automation.
Design, prototype, and ship internal AI tools, agents, and workflows (think: LLM-powered assistants, automated reporting, intelligent routing, internal copilots).
Translate business goals into technical specs — and technical realities back into business language.
Establish standards and shared infrastructure so AI initiatives across teams stay coherent rather than fragmented.
Measure impact: define KPIs, track adoption, and iterate based on what's actually moving the needle.
Act as an internal evangelist — train teams, document playbooks, and raise the AI fluency of the entire org.