AI Solutions Architect (Graph)

TL;DR

AI Solutions Architect (Graph): Designing and deploying enterprise-class Graph+GenAI solutions to transform data into knowledge with an accent on integrating graph databases with LLMs and orchestration frameworks. Focus on translating business objectives into AI-powered architectures, optimizing production-ready code, and delivering scalable intelligence systems.

Location: Sydney, Australia (ability to travel for customer engagements)

Company

hirify.global is a leading graph intelligence platform that enables organizations to find and understand complex data relationships to power the next generation of intelligent applications.

What you will do

• Partner with technical leads and executives to deliver Graph+GenAI implementations and serve as a trusted advisor for decision-makers.
• Design and propose solution architectures tailored to complex customer requirements and implementation best practices.
• Develop, test, and deploy production-ready AI applications integrating graph databases with LLMs and orchestration frameworks.
• Translate business objectives into technical AI solutions by analyzing data landscapes and gathering requirements.
• Collaborate with Product and Marketing teams to influence the roadmap and create thought leadership assets.
• Conduct workshops and training sessions to enable customers and internal teams to effectively utilize AI solutions.

Requirements

• 5+ years of experience in enterprise application development and software development lifecycle (SDLC) principles.
• 2+ years of experience with LLMs, including prompt engineering, fine-tuning, and integration.
• Proficiency in at least one programming language: Java, JavaScript, Python, or C#.
• Hands-on experience with Linux, Docker, Kubernetes, and version control (Git, SVN).
• Practical expertise with cloud platforms such as AWS, Azure, or GCP.
• Deep knowledge of graph database concepts, data modeling, and query languages like Cypher.

Nice to have

• Knowledge of AI orchestration frameworks such as LangChain, Llama Index, or Haystack.
• Experience with big data technologies like Hadoop, Spark, or Hive.
• Familiarity with various LLM providers including OpenAI, Anthropic, Google, and open-source models.

Culture & Benefits

• Opportunity to work at one of the fastest-scaling technology companies in the database industry.
• Inclusive and diverse workplace culture focused on relationships, innovation, and customer success.
• Exposure to a global customer base including a significant portion of the Fortune 100.
• Environment that encourages intellectual honesty and collaborative contribution.