Engineer

Engineer Overview

• The Engineer role focuses on transforming data and AI architecture into production systems.
• Collaborate within a federated data model to implement shared platforms and reusable patterns for AI initiatives.
• Contribute to the development of retrieval-augmented generation (RAG) patterns and AI-ready data products.
• Operate pipelines, semantic layers, and retrieval systems to support analytics and generative AI applications.
• Partner with domain teams to deliver trusted, scalable AI-consumable data solutions.
• Focus on delivering foundational AI-ready data pipelines and reusable engineering patterns.
• Work in a hybrid environment with a commitment to innovation and collaboration.

Engineer Key Responsibilities & Duties

• Develop AI-ready data pipelines, embedding generation, indexing, and refresh workflows.
• Implement retrieval-augmented generation components and vector store integrations.
• Maintain interfaces for agents and copilots to query enterprise data safely.
• Design and maintain ELT, streaming, and transformation pipelines using modern tools.
• Build semantic models and analytical/dimensional models for AI grounding.
• Implement data quality checks, lineage capture, and pipeline observability.
• Collaborate with governance teams to ensure rigorous data consumption standards.
• Mentor junior engineers and contribute to architectural design reviews.

Engineer Job Requirements

• Bachelor's degree in computer science, data engineering, or related field required.
• 6+ years of technical experience, including 1–2 years in AI/ML systems production.
• Proficiency in Python, SQL, and distributed processing frameworks like Spark.
• Experience with modern data stacks such as dbt, Fivetran, and Snowflake.
• Hands-on expertise with AI platforms and tools like AWS Bedrock and OpenAI APIs.
• Knowledge of retrieval-augmented generation pipelines and vector databases.
• Strong engineering craft with a focus on clean code and automated testing.
• Ability to operate in federated data models and regulated enterprise environments.