Solutions Architect
Seeking a Solutions Architect to engage with customers as a trusted advisor, design end-to-end AI/ML solutions, and drive adoption of a data cloud platform. The role involves technical leadership, architecture guidance, and collaboration with cross-functional teams to deliver impactful business outcomes.
Responsibilities
- Directly engage with customers as a trusted advisor for thought leadership and solution approaches
- Extract business requirements and translate them into well-architected recommendations
- Develop forward-looking guidance and future-state roadmaps
- Leverage best practices and solutions to reduce risk to customer implementations
- Collaborate with go-to-market and product teams to ensure customer alignment
- Oversee and advise on the implementation of the customer’s data platform
- Demonstrate technical leadership through personally developed code, solution architectures, and implementation recommendations
- Design, prototype, and implement end-to-end AI/ML solutions ensuring scalability and performance
- Provide standard practices and advice related to AI/ML workloads
- Define and advise on MLOps standard practices for model deployment, monitoring, and governance
- Drive adoption of the AI product suite within customer solutions
- Coach and guide customers on leveraging the AI product suite to unlock new business value
Requirements
- BA/BS in computer science, engineering, mathematics or related fields, or equivalent practical experience
- 3+ years of technical consulting experience
- Experience in a lead role for analytics projects for large enterprises
- Experience implementing and operating data platform centric solutions
- Understanding of complete data analytics stack and workflow, from ETL to data platform design to BI and analytics tools
- Deep understanding of the complete AI/ML lifecycle, from data preparation and feature engineering to model training, deployment, and ongoing monitoring
- Familiarity with AI/ML and transformation technologies
- Hands-on experience with modern MLOps tools and frameworks for deploying, managing, and governing machine learning models at scale
- Proven experience with developing generative AI and LLM use cases
- Familiarity with industry common BI and ETL solutions
- Hands-on experience in a technical role leveraging SQL and Python to build, operate and maintain data analytics solutions
- Extensive knowledge of and experience with large-scale database technology
- Proficiency in implementing data security measures, access controls, and design specifically within the data platform
- Familiarity with prompt engineering techniques
Nice to have
- Hands-on experience or significant familiarity with building and managing AI/ML workloads
- 5+ years of experience as a solutions architect, data architect, database administrator, or data engineer
- Experience in the services organization of a product company
- Experience in a leadership position executing technical projects
- Application development experience
- AWS, Google or Microsoft Cloud certification(s)
- Snowflake Snowpro Advanced Certification(s)