AI Solutions Architect

TL;DR

AI Solutions Architect: Leading the design and implementation of AI-powered solutions, driving automation with intelligent agent systems, and modernizing software engineering workflows with an accent on scalable, observable, and governed systems. Focus on bridging business strategy and deep technical execution while championing responsible and secure AI practices.

Location: Worldwide Remote

Company

hirify.global is a global digital transformation tech company with a presence in the US, the UK, the EU, Israel, Australia, and Ukraine, specializing in software solutions for Supply Chain, Healthtech, Software & Hightech, and Gaming.

What you will do

• Design and guide the implementation of AI-driven products, APIs, and platform features from concept to production.
• Evaluate, select, and benchmark AI/ML models, including frontier LLMs, fine-tuned models, and open-source alternatives.
• Architect scalable, observable, and cost-efficient AI systems that span experimentation, staging, and production.
• Identify business processes that can be automated or enhanced via agentic AI, and define the architecture for doing so.
• Set up and continuously optimize AI-augmented developer environments.
• Ensure all AI systems are designed with security-first principles.

Requirements

• 5+ years of experience in AI/ML solution architecture and a demonstrable track record of taking AI systems from prototype to production at scale.
• Deep expertise in LLMs, prompt and context engineering, RAG architectures, and vector databases.
• Hands-on experience with agentic AI frameworks and orchestration.
• Strong proficiency in Python; working knowledge of at least one additional language (Go, TypeScript, etc.).
• Experience with cloud-native AI deployment on AWS, GCP, Azure, including managed LLM services such as Bedrock, Vertex AI, etc.
• Experience with AI compliance, governance frameworks, and explainability (GDPR, EU AI Act, model cards).

Nice to have

• Background in AI security: prompt injection mitigation, MCP server hardening, OAuth 2.x for agents.
• Knowledge of emerging multi-agent communication standards: A2A (Google), ACP (IBM BeeAI).
• Experience with reasoning/thinking models and their architectural implications for agent planning.
• Contributions to open-source AI projects, MCP servers, or published technical articles.

Culture & Benefits

• Personalized benefits based on your preferences.
• Flexible working mode in hybrid teams.
• Opportunity to work from home, office, or wherever you want to.
• Mentorship Program and Individual Development Plan.
• English classes to take your speech and writing to a new level.
• Global certification preparation program and comprehensive online courses.