Location: Onsite in Redwood City, CA
About Gruve
Gruve is an innovative software services startup dedicated to transforming enterprises into AI powerhouses. We specialize in cybersecurity, customer experience, cloud infrastructure, and advanced technologies such as Large Language Models (LLMs). Our mission is to assist our customers in their business strategies utilizing their data to make more intelligent decisions. As a well-funded early-stage startup, Gruve offers a dynamic environment with strong customer and partner networks.
About the Role
We are seeking an experienced AI Solutions Architect to join our AI team. In this role, you will manage relationships with enterprise customers, gather and translate business requirements into AI solutions, and lead the design and implementation of LLM products. You will be the technical thought leader, guiding customers from prototype to production. This is an exciting opportunity with hands-on experience in building and deploying LLM-powered solutions.
Key Responsibilities
- Engage directly with enterprise customers to gather business and technical requirements in leveraging AI.
- Design and implement AI solutions leveraging LLMs and cloud services.
- Partner with cross-functional teams, including business stakeholders, data engineers, and software engineers, to deploy AI solutions.
- Build hands-on prototypes and guide customers from proof-of-concept to production, ensuring timely delivery and business impact.
- Design and implement a scale infrastructure for developing and deploying GenAI solutions.
- Develop best practices for AI solution delivery, including security and compliance measures for safe AI implementations.
- Drive customer success by providing ongoing technical support and thought leadership in AI post-deployment.
Basic Qualifications
- Have 5+ years of experience in AI/ML architecture, including working with OpenAI and Hugging Face.
- Hands-on experience building LLM-powered apps from ideation to production.
- Hands-on experience designing and implementing vector databases.
- Expert in cloud platforms such as AWS or Azure.
- Experience integrating AI solutions with enterprise systems.
- Have excellent communication skills and can engage with both technical teams and executive stakeholders effectively.
- Can lead multiple concurrent engagements.
- Have experience working with programming languages like Python.
Preferred Qualifications
- Master’s degree in Computer Science, Data Science, or a related field.
- Experience with cloud-native architectures, CI/CD pipelines, and containerization (e.g., Docker, Kubernetes).
- Relevant certifications in AI/ML technologies or cloud platforms (e.g., AWS, Azure, Google Cloud).
- Experience with enterprise platforms such as Salesforce.
Why Gruve
At Gruve, we foster a culture of innovation, collaboration, and continuous learning. We are committed to building a diverse and inclusive workplace where everyone can thrive and contribute their best work. If you’re passionate about technology and eager to make an impact, we’d love to hear from you.
Gruve is an equal-opportunity employer. We welcome applicants from all backgrounds and thank all who apply; however, only those selected for an interview will be contacted.
