Architect Jobs

About The Position

Requirements

• Knowledge of how to use data science techniques in operations to impact corporate financials.
• Working knowledge of DevOps process (CI/CD) applied to data science and ML ops.
• Bachelor’s or Master’s Degree in Computer Science, Data Science, or Advanced Mathematics.
• 5-8+ years of experience with advanced data science techniques, frameworks, libraries, and technologies including but not limited to: Python, SQL, C#, or other programming languages
• LLM’s, RAG, Vector Databases, Prompt Evaluation, GenAI Solution Patterns.
• Azure ML, AWS ML, Vertex AI, SageMaker, Databricks, Big query/Redshift/Snowflake
• ELT/ELT/Pipeline Design, Data Modeling, Spark, API Integration Patterns
• 2+ years managing data and AI engineers
• An AI-first mentality in software development, documentation, and architecture

Responsibilities

• Drive growth through business development, resourcing, and quality delivery.
• Monitor business impact and value generation of analytics projects.
• Help create go-to-market strategies around advanced AI/ML Services and hardware.
• This role will be directly involved in the business development process, delivering customer demos to show the value of how data can drive business goals.
• Create proposals and SOWs.
• Work closely with sales and other practice leaders to recommend strategies to grow our data science services.
• Manage full sales cycles, end-to-end, for high potential clients.
• Evaluate business impact and priority initiatives for our portfolio of managed analytics customers.
• Help with planning and staffing for data science projects.
• Provide support for project managers through developing tasks, estimates, and dependencies to meet expectations.
• Train the data science team on best practices and new technology initiatives.
• Anticipate the impact of new technologies and frameworks and help create compelling data science offerings to our clients.