
Senior AI Solutions Architect
Posted Jul 21

Posted Jul 21
This is a fully remote position, open to applicants in United States.
• Spearhead the design, construction, and deployment of AI solutions that leverage the capabilities of graph databases and AI technologies.
• Serve as a trusted advisor to key customers, guiding them through intricate data challenges and delivering transformative business outcomes.
• Collaborate with technical leaders, stakeholders, and strategic partners to define and direct the successful deployment of Graph+GenAI solutions.
• Design and advocate for resilient, scalable solution architectures, overseeing the deployment of Graph+GenAI systems that meet complex enterprise needs.
• Work closely with customer leadership to thoroughly comprehend their strategic goals, translating these into impactful AI solutions.
• Create, test, and launch production-ready AI applications that seamlessly integrate graph databases with LLMs and orchestration frameworks.
• Partner with other teams to shape the product roadmap, provide field insights, and share knowledge internally with stakeholders through workshops, training sessions, and documentation.
• Over 7 years of experience in architecting and delivering enterprise-level applications, with a comprehensive understanding of the complete software development lifecycle.
• More than 2 years of experience working with Large Language Models (LLMs), including prompt engineering, fine-tuning, and integrating LLMs into applications.
• Advanced expertise in at least one major programming language (e.g., Java, JavaScript, Python, or C#).
• Extensive hands-on experience with deployment tools across Linux, Docker, and Kubernetes environments.
• Proven expertise in deploying and scaling applications across cloud platforms (AWS, Azure, GCP).
• In-depth understanding of the generative AI ecosystem, including frameworks (e.g., LangChain, LlamaIndex, Haystack).
• Strong foundation in data engineering, analytics, or data science, with the capability to design data pipelines and workflows for both structured and unstructured data.
• Profound expertise in graph data modeling and query languages (e.g., Cypher).
• Excellent communication and stakeholder engagement abilities.
• A strong analytical mindset with the capability to deconstruct complex problems, architect AI solutions, and mentor teams.
• Willingness and ability to travel up to 50% to engage with customers, lead strategic discussions, and ensure successful project execution.
• In addition to the outlined benefits, US employees are eligible for a stock option grant, and certain roles qualify for an annual bonus.
• Employees in this position can also partake in the Company’s standard benefit programs, which currently include medical, dental, and vision benefits, a 401(k) plan, paid time off, and certain leaves of absence.
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