Senior AI Solutions Architect

1 month ago

Remote, United StatesSenior

Responsibilities

Advise technical leaders, stakeholders, and strategic partners on Graph+GenAI solution architecture and implementation.
Design, advocate for, and lead deployment of scalable AI architectures aligned with enterprise requirements.
Discover customer requirements, assess enterprise data ecosystems, and identify opportunities for graph-based AI.
Develop, test, deploy, and optimize production-ready AI applications integrating graph databases, LLMs, and orchestration frameworks.
Lead stakeholder engagement, project scope, prioritization, risk mitigation, and delivery alignment.
Influence product and marketing roadmaps using customer and field insights.
Create thought leadership, methodologies, documentation, workshops, and training for internal teams and customers.
Maintain current knowledge of generative AI trends, technologies, and providers.

At least 7 years of experience architecting and delivering enterprise-grade applications across the software development lifecycle.
At least 2 years of experience with LLMs, including prompt engineering, fine-tuning, and application integration.
Advanced proficiency in at least one major programming language, such as Java, JavaScript, Python, or C#.
Hands-on experience with Linux, Docker, Kubernetes, and enterprise version-control workflows using tools such as Git or SVN.
Expertise deploying and scaling applications on AWS, Azure, and GCP, with knowledge of cloud-native architecture and DevOps practices.
Knowledge of generative AI frameworks and cloud AI platforms, including LangChain, LlamaIndex, Haystack, AWS Bedrock, Google Vertex AI, and Azure ML.
Background in data engineering, analytics, or data science, including data pipelines, structured and unstructured data, Hadoop, Spark, Hive, SQL, and NoSQL systems.
Deep expertise in graph data modeling, Cypher, graph databases such as Neo4j, Amazon Neptune, and TigerGraph, or triple stores such as Ontotext and Stardog.
Exceptional communication, stakeholder engagement, analytical, problem-solving, mentoring, and cross-functional collaboration skills.
Willingness and ability to travel up to 50% for customer engagements and strategic discussions.

Medical, dental, and vision benefits.
401(k), paid time off, and certain leaves of absence.
Eligible employees may receive stock option grants, and certain roles may qualify for an annual bonus.
Customer-facing role requiring travel of up to 50%.
Inclusive, collaborative, and innovation-focused workplace culture.

1,001-5,000 employees