
Senior Architect
Posted Aug 24

Posted Aug 24
This is a fully remote position, open to applicants in United States.
• Expand the Data Science and Analytics division through business development, resource allocation, and effective delivery.
• Assess the business impact and value generated from analytics initiatives.
• Assist in formulating go-to-market strategies for advanced AI/ML services and hardware solutions.
• Present customer demonstrations illustrating how data can propel business objectives.
• Develop proposals and statements of work for potential clients.
• Partner with sales and practice leaders to enhance data science service offerings.
• Oversee complete sales cycles for high-value clients.
• Analyze business impact and prioritize initiatives for managed analytics clients.
• Aid in the planning and staffing of data science projects.
• Support project managers by outlining tasks, estimates, and dependencies.
• Educate the data science team on best practices and emerging technology initiatives.
• Anticipate the effects of new technologies and frameworks, crafting compelling data science solutions.
• Understanding of how to apply data science techniques in operations to influence corporate financial performance.
• Familiarity with DevOps processes (CI/CD) as applied to data science and ML operations.
• Bachelor’s or Master’s Degree in Computer Science, Data Science, or Advanced Mathematics.
• 5-8+ years of experience with advanced data science methodologies, frameworks, libraries, and technologies.
• Proficiency in Python, SQL, C#, or other programming languages.
• Experience with LLMs, RAG, Vector Databases, Prompt Evaluation, and GenAI Solution Patterns.
• Knowledge of Azure ML, AWS ML, Vertex AI, SageMaker, Databricks, BigQuery, Redshift, or Snowflake.
• Background in ELT/ETL/Pipeline Design, Data Modeling, Spark, and API Integration Patterns.
• 2+ years of experience managing data and AI engineering teams.
• An AI-first approach in software development, documentation, and architecture.
• Equal opportunity employer; employment decisions are based on qualifications, merit, and business needs.
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