Software Engineer

Intelligence Architect

Conquer AI is hiring an Intelligence Architect to help us design and deliver real-world AI systems for enterprise clients.

This is not a research-only role, and it is not a strategy-only role.

We are looking for a strong software engineer who can work directly with clients, run technical discovery, shape use cases, and then build the solution from POC through MVP and Phase 1 delivery.

Think forward deployed engineer. A hands-on builder who can sit with business stakeholders, understand how work actually happens, and turn that into practical AI systems.

What we’re looking for

Strong software engineering background

Experience with RAG, LLMs, machine learning, and AI application development

Strong hands-on skills in Python and Node.js

Ability to design, build, and deploy production-ready systems

Confident working directly with clients and cross-functional stakeholders

Able to move from problem definition to technical architecture to delivery

Strong communication, ownership, and execution skills

What you’ll do

Work closely with clients to uncover high-value AI opportunities

Lead discovery sessions and translate business problems into technical solutions

Build POCs, MVPs, and early production systems

Design workflows that combine retrieval, reasoning, automation, and human-in-the-loop review

Operate as a trusted technical lead across both client-facing and delivery work

Help ensure what gets built is usable, scalable, and grounded in real workflows

This role is a fit for you if

You are a builder first

You can speak to executives, operators, and engineers without losing the thread

You enjoy solving messy workflow problems with elegant technical systems

You want to work on high-impact AI delivery, not internal experiments

We’d love to hear from engineers who want to build serious AI systems in the real world.