Remote job
AI Solutions Architect
Job details
About this role
Role overview
Lead customer engagements that turn complex data challenges into production-ready AI applications combining graph databases and large language models. This role spans architecture, hands-on engineering, stakeholder alignment, and enablement, with a focus on solutions that meet enterprise needs and deliver measurable business value.
Responsibilities
- Discover customer objectives and data needs, assess existing data environments, and identify opportunities for graph-based AI. - Design scalable architectures for graph and generative AI systems, guide implementation, and align scope, priorities, risks, and delivery with stakeholders. - Develop, test, deploy, and optimize production applications that connect graph databases, LLMs, and orchestration frameworks. - Work with product and marketing teams to share customer insights and shape roadmaps, methods, best practices, and published materials. - Teach customers and internal teams through workshops, training, and documentation so they can use and maintain delivered solutions. - Track developments in generative AI and apply relevant new techniques to improve deployed applications.
Requirements
- At least five years architecting and delivering enterprise applications, with strong knowledge of the software development life cycle and complex design decisions. - Experience integrating LLMs into applications, including prompt engineering and fine-tuning, and understanding of provider and open-source model capabilities and limits. - Advanced proficiency in at least one major programming language, such as Java, JavaScript, Python, or C#, with a record of producing maintainable, scalable code. - Hands-on experience with Linux, Docker, Kubernetes, and version control systems such as Git or SVN. - Demonstrated ability to deploy and scale applications on AWS, Azure, or Google Cloud, with knowledge of cloud-native architecture and DevOps practices. - The source also calls for in-depth knowledge of the generative AI ecosystem; further detail on this qualification was not available.