AI Solutions Architect
FuturoStack is looking for an AI Solutions Architect to shape enterprise AI systems that connect models, data, workflows, tools, and existing business platforms.
The role sits between AI engineering and enterprise architecture, with a focus on turning AI capabilities into reliable production systems rather than isolated demos.
What we look for
Strong understanding of LLM applications, RAG, agents, workflows, and model APIs.
Experience designing integrations with enterprise systems, databases, and APIs.
Understanding of stateful workflows, tool execution, human approval, and AI governance.
Ability to reason about security, reliability, scalability, and observability.
Comfortable moving between architecture and hands-on prototyping.
Strong technical communication and practical judgment.
What we offer
Work on production-oriented enterprise AI architecture.
Exposure to models, agent runtimes, workflows, integrations, and AI infrastructure.
Opportunities to shape reusable platform capabilities and industry solutions.
Direct involvement in technically complex enterprise environments.
A multidisciplinary team spanning infrastructure, AI, product, and business applications.
The selection process
Our hiring process is designed to understand your experience, judgment, and fit with the role.
Application review — CV, LinkedIn, portfolio, GitHub, or relevant work.
Intro conversation — A discussion about your background and the role.
Role assessment — A practical discussion or exercise relevant to the position.
Final conversation — Alignment on expectations, contribution, and next steps.
We value clear thinking and relevant potential as much as matching every item in a job description.
Before you apply
FuturoStack works across enterprise infrastructure, AI systems, and business applications. Many roles therefore involve working across traditional boundaries and learning adjacent technologies or industries.
You do not need to know every part of the stack. We value people who are curious, thoughtful, comfortable with complexity, and willing to develop deeper expertise over time.