About this Technical Solution Architect role at Gruve
About Gruve
Gruve is an innovative software services startup dedicated to transforming enterprises to 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 a Technical Solution Architect to lead the design, governance, and implementation of AI-driven software solutions for our client. In this role, you will partner closely with business and engineering teams to architect scalable AI-enabled platforms that move AI initiatives from concept to production. You will define the enterprise architecture for AI, data, and software systems, ensuring interoperability, governance, security, and alignment with business strategy in a complex, regulated environment.
This is a highly strategic and hands-on role requiring expertise in modern AI architectures, cloud platforms, large language models (LLMs), data platforms, and enterprise software design.
Key Responsibilities
- Define and drive the AI software architecture, technology strategy, and long-term roadmap.
- Design scalable AI, data, and application architectures that support analytics, AI/ML, LLMs, and partner integrations.
- Partner with business and engineering stakeholders to align architecture with enterprise goals.
- Enable AI readiness through governed, discoverable data and automated data pipelines.
- Evaluate and recommend enterprise AI platforms, LLMs, vector databases, graph databases, and orchestration frameworks.
- Establish architecture standards, governance models, and best practices across development teams.
- Design APIs, microservices, and event-driven architectures to support modern AI applications.
- Define data governance, security, compliance, and risk management strategies for AI solutions.
- Collaborate with security teams to protect AI, ML, and enterprise data assets.
- Lead technology evaluations, proof of concepts, and architecture reviews.
- Monitor emerging AI technologies and continuously evolve the enterprise architecture.
- Provide technical leadership and mentor engineering teams on architecture best practices.
Basic Qualifications
- Bachelor's degree in Computer Science, Data Science, AI/ML, Information Systems, or a related field (or equivalent practical experience).
- 6+ years of experience in Solution Architecture, Data Architecture, or Enterprise Architecture.
- Experience designing and implementing AI-driven enterprise software solutions.
- Hands-on experience with machine learning frameworks such as TensorFlow or PyTorch.
- Experience with cloud AI platforms including AWS SageMaker, Azure ML, or Google Vertex AI.
- Experience working with Large Language Models (LLMs) such as Claude, ChatGPT, or Gemini.
- Strong knowledge of:
- Vector databases
- Graph databases
- Retrieval-Augmented Generation (RAG)
- Model Context Protocol (MCP)
- AI Agents
- MLOps
- Experience with APIs, microservices, and event-driven architectures.
- Knowledge of AI/ML observability including model monitoring, latency, drift detection, and quality metrics.
- Understanding of AI FinOps, including AI infrastructure, inference, and token cost optimization.
- Experience working within regulated industries and compliance frameworks (HIPAA, FHIR, EDI, or similar).
- Strong communication, leadership, and stakeholder management skills.
Preferred Qualifications
- Master's degree in Computer Science, Data Science, AI/ML, or a related field.
- Experience selecting, fine-tuning, and deploying foundation models.
- Experience building enterprise AI governance frameworks.
- Expertise in enterprise architecture methodologies and best practices.
- Experience evaluating vendor-neutral AI technologies and enterprise platforms.
- Strong understanding of AI security, governance, and responsible AI practices.
- Proven ability to balance strategic architecture planning with hands-on technical execution.
- Experience influencing executive stakeholders and leading cross-functional architecture initiatives.
- Passion for emerging AI technologies with a continuous learning mindset.
Engagement Details
- Contract Duration: 10–12 weeks, with the possibility of extension based on project needs.
- Work Arrangement: Hybrid (2 days per week onsite at the client's Bay Area office and the remaining days remote).
- Location: San Francisco Bay Area, California.
- Compensation: $70–$90/hour (based on experience and qualifications).
Additional Information
- This position is being hired on behalf of a Gruve client.
- Visa sponsorship is not available for this role. Candidates must be authorized to work in the United States without current or future sponsorship.
- We are open to candidates working on either a W2 or Corp-to-Corp (C2C) basis.
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.
