Senior AI Solutions Architect

This is a fully remote position, open to applicants in United States.

📋 Description

• Oversee the design, construction, and deployment of AI solutions that merge graph databases with AI technology.

• Provide strategic guidance to customers on intricate data issues and the transformative value of business solutions.

• Collaborate with technical leaders, stakeholders, and strategic partners to facilitate Graph+GenAI implementations.

• Create and promote robust, scalable solution architectures.

• Identify requirements, evaluate enterprise data ecosystems, and uncover opportunities for large-scale graph-based AI applications.

• Direct stakeholder engagement to manage project scope, priorities, risks, delivery, and measurable business outcomes.

• Develop, test, and launch production-ready AI applications that integrate graph databases, LLMs, and orchestration frameworks.

• Write production-quality code and enhance AI applications for optimal performance and scalability.

• Assess and refine the performance, scalability, and efficiency of deployed AI applications.

• Work alongside Product and Marketing teams to shape the product roadmap.

• Compile best practices and insights into thought leadership, methodologies, and published resources.

• Conduct workshops, training sessions, and create documentation for both internal teams and clients.

• Maintain ongoing education on the rapidly evolving generative AI landscape.

⛳️ Requirements

• A minimum of 7 years of experience in architecting and delivering enterprise-grade applications.

• Comprehensive understanding of the complete software development lifecycle.

• At least 2 years of experience with Large Language Models, including prompt engineering, fine-tuning, and LLM integration.

• Current knowledge of LLM providers and available open-source LLMs.

• Advanced proficiency in at least one major programming language, such as Java, JavaScript, Python, or C#.

• Demonstrated success in delivering clean, maintainable, and scalable code.

• Extensive hands-on experience with Linux, Docker, and Kubernetes deployment tools.

• Expert-level proficiency in version control systems like Git or SVN.

• Expertise in deploying and scaling applications across AWS, Azure, or GCP.

• Strategic insight into cloud-native architecture and DevOps best practices.

• In-depth familiarity with generative AI frameworks such as LangChain, LlamaIndex, or Haystack.

• Knowledge of AWS Bedrock, Google Vertex AI, or Azure ML.

• Strong background in data engineering, analytics, or data science.

• Ability to design data pipelines and workflows for both structured and unstructured data.

• Practical experience with Hadoop, Spark, or Hive.

• Experience with SQL and NoSQL database technologies.

• Advanced expertise in graph data modeling and query languages like Cypher.

• Hands-on experience with graph databases such as Neo4j, Amazon Neptune, or TigerGraph, as well as triple stores like Ontotext or Stardog.

• Outstanding communication and stakeholder engagement abilities.

• Strong analytical and problem-solving skills.

• Willingness and capability to travel up to 50%.

🏝️ Benefits

• Stock option grant.

• Annual bonus eligibility for select positions.

• Comprehensive medical benefits.

• Dental coverage.

• Vision insurance.

• 401(k) plan.

• Paid time off.

• Certain leaves of absence available.

• An inclusive, diverse, and equitable workplace.

• A culture of collaboration and employee empowerment.

• Opportunity for up to 50% customer travel.