AI Solutions Architect

🕒 Novembro 2

🇺🇸 Estados Unidos – Remoto (EUA)

💵 $160.000 - $220.000 / ano

⏰ Tempo Integral

🟡 Pleno

🟠 Sênior

💻 Engenheiro de Soluções

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Neo4j

SiteLinkedInTodas as Vagas

501 - 1000 funcionários

Fundada em 2007

☁️ SaaS

🤖 Inteligência Artificial

🏢 Corporativo

SaaS • Artificial Intelligence • Enterprise

A Neo4j é uma empresa líder que fornece tecnologia de banco de dados de grafos, permitindo que organizações conectem e analisem grandes volumes de dados por meio de sua plataforma. Como criadora do Neo4j Graph Database e da linguagem de consultas Cypher, a empresa oferece soluções como o Neo4j AuraDB e o Neo4j Graph Data Science para ajudar negócios a implantar aplicações baseadas em grafos de forma eficiente, seja em modo autogerenciado ou totalmente gerenciado. Suas ferramentas são projetadas para que desenvolvedores e cientistas de dados construam e visualizem com facilidade aplicações baseadas em grafos, aprimorando os relacionamentos entre dados e os insights. A Neo4j atende a diversos casos de uso, incluindo detecção de fraudes, grafos de conhecimento e serviços financeiros, sendo amplamente adotada pelas comunidades de desenvolvimento e de ciência de dados no mundo todo. Com recursos educacionais como a GraphAcademy, a Neo4j também apoia uma grande e crescente comunidade global de especialistas em tecnologia de grafos.

Descrição

• Engage with technical leaders, stakeholders, and strategic partners to guide implementation of Graph+GenAI solutions • Serve as a trusted advisor and thought partner to decision-makers during complex, high-impact engagements • Design and advocate for robust, scalable solution architectures • Lead deployment of Graph+GenAI systems aligned with enterprise requirements and industry best practices • Collaborate with customer leadership to understand strategic objectives and translate them into AI solutions using graph databases and LLMs • Lead requirements discovery, assess enterprise data ecosystems, and identify opportunities to apply graph-based AI at scale • Lead stakeholder engagement to steer project scope, align priorities, mitigate risks, and ensure timely delivery • Develop, test, and deploy production-ready AI applications integrating graph databases with LLMs and orchestration frameworks • Write production-level code and optimize applications for performance, scalability, and customer-system integration • Continuously evaluate and improve deployed AI applications • Work with Product and Marketing teams to influence the roadmap and provide field insights • Package approaches, best practices, and lessons learned into thought leadership, methodologies, and published assets • Share expertise through workshops, training sessions, and documentation • Maintain continuous learning and stay current with the evolving GenAI landscape

🎯 Requisitos

• 5+ years of experience architecting and delivering enterprise-grade applications • Deep understanding of the full software development lifecycle • Experience working with Large Language Models, including prompt engineering, fine-tuning, and integrating LLMs into applications • Up-to-date knowledge of different LLM providers, their strengths and limitations, and open-source LLMs • Advanced proficiency in at least one major programming language, such as Java, JavaScript, Python, or C# • Proven track record of delivering clean, maintainable, and scalable code within complex systems • Deep hands-on experience with Linux, Docker, Kubernetes, and version control systems such as Git or SVN • Expert-level use of version control systems in enterprise development workflows • Demonstrated expertise deploying and scaling applications across AWS, Azure, or GCP • Strategic understanding of cloud-native architecture and DevOps best practices • In-depth knowledge of generative AI frameworks such as LangChain, LlamaIndex, or Haystack • Familiarity with cloud-native AI platforms such as AWS Bedrock, Google Vertex AI, or Azure ML • Strong background in data engineering, analytics, or data science • Ability to design data pipelines and workflows across structured and unstructured data • Hands-on experience with Hadoop, Spark, Hive, SQL, and NoSQL database systems • Deep expertise in graph data modeling and query languages such as Cypher • Practical experience with graph databases such as Neo4j, Amazon Neptune, or TigerGraph, or triple stores such as Ontotext or Stardog • Exceptional communication and stakeholder engagement skills • Ability to influence cross-functional teams and align technical decisions with business goals • Strong analytical and problem-solving abilities • Ability to architect AI solutions and mentor teams through implementation • Willingness and ability to travel up to 50%

🏖️ Benefícios

• Stock option grant • Annual bonus eligibility for certain roles • Medical benefits • Dental benefits • Vision benefits • 401(k) • Paid time off • Certain leaves of absence • Inclusive, diverse, and equitable workplace • Opportunity to shape the future of data and analytics • Customer-facing workshops, training, and professional development through continuous learning

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