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With a steadfast commitment to innovation and a keen eye on the future, RIB comprises over 2,500 talented individuals who extend our software’s reach to over 100 countries worldwide. We are experienced experts and professionals from different cultures and backgrounds and we collaborate closely to provide transformative software products, innovative thinking and professional services to our global market. Our strong teams across the globe enable sustainable product investment and enhancements, to keep our clients at the cutting-edge of engineering, infrastructure and construction technology.
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Senior AI Data Engineer
Location: Atlanta, GA (Hybrid)
Organization: RIB North America (RIB NAM)
Overview
Are you a Data Engineer passionate about being part of an Agentic AI transformation journey and playing a meaningful, hands-on role?
We are looking for a Senior AI Data Engineer to design and build scalable, secure, and high-performance data platforms that power next-generation AI applications. This role focuses on making enterprise data AI-ready by building robust data pipelines, enabling real-time data access, and supporting advanced use cases such as Generative AI, Retrieval-Augmented Generation (RAG), and intelligent applications.
You will collaborate closely with AI engineers, data engineers, and product teams to deliver reliable, production-grade data solutions within a modern Azure-based ecosystem.
Why Join Us
Work on cutting-edge AI / Agentic AI initiatives
Build enterprise-scale AI-ready data platforms
Collaborate with global teams across North America, Europe, and APAC
Influence architecture, standards, and technical direction
Key Responsibilities
Build Data Ingestion Pipelines: Develop robust pipelines to extract data from various sources (databases, APIs, flat files) supporting SpecLink AI and related platforms
Data Transformation & Processing: Implement scalable transformation and data quality processes to make raw data usable for AI workloads
Data Loading & Indexing: Design and manage pipelines that load processed data into storage systems, search indices, and vector stores
Real-Time & Incremental Processing: Enable streaming and near real-time data pipelines where required by AI systems
Pipeline Orchestration & Automation: Implement scheduling, orchestration, and monitoring of data workflows
Data Integration & APIs: Develop integration components and APIs to support real-time and on-demand data access
Testing, Validation & Observability: Implement data quality checks, monitoring, and alerting for pipeline reliability
Performance Optimization: Continuously optimize pipelines for performance, scalability, and cost efficiency
Collaboration: Partner with global Data Engineering teams, R&D, and AI architects to implement RAG and AI data solutions
Documentation & Maintainability: Document data models, pipelines, dependencies, and operational processes
Operational Ownership: Monitor pipelines in production and handle post go-live maintenance and improvements
Required Experience & Skills
6–10+ years of experience in Data Engineering or related roles
Strong hands-on experience building end-to-end, production-grade data pipelines
AI Tooling Exposure- Hands-on exposure to tools such as GitHub Copilot, Claude Code, Cursor, or similar AI-assisted development tools
Data Engineering Fundamentals: SQL, data modelling (dimensional, normalized, Lakehouse)
Azure Data Platform: Synapse, Data Factory / Fabric, Azure SQL, Cosmos DB
Understanding of Modern Data Architecture: Lakehouse, Medallion architecture, Delta / Iceberg, batch + streaming
AI Data Infrastructure: Vector databases, embeddings, RAG indexing, unstructured data pipelines
Real-Time & Event-Driven Systems: Streaming, event-driven pipelines, asynchronous workflows
Data Quality & Observability: Data freshness, retrieval quality, monitoring, SLAs, and cost tracking
AI Evaluation Pipelines: Golden datasets, benchmarking, regression datasets
Strong experience with MS SQL, Azure SQL, or Cosmos DB
Exposure to building pipelines for AI/ML or Agentic AI use cases
Solid understanding of incremental loads, CDC, and performance tuning
Knowledge of Azure security (Managed Identity, RBAC, Key Vault)
Soft Skills:
Strong communication and stakeholder collaboration
Ability to work in a fast-paced, cross-functional environment
Ownership mindset with focus on business impact and delivery
Nice to Have
Experience with event-driven architecture and asynchronous processing
Familiarity with CI/CD pipelines, DevOps practices, and Git-based workflows
RIB may require all successful applicants to undergo and pass a comprehensive background check before they start employment. Background checks will be conducted in accordance with local laws and may, subject to those laws, include proof of educational attainment, employment history verification, proof of work authorization, criminal records, identity verification, credit check. Certain positions dealing with sensitive and/or third party personal data may involve additional background check criteria.
RIB is an Equal Opportunity Employer. We are committed to being an exemplary employer with an inclusive culture, developing a workplace environment where all our employees are treated with dignity and respect. We value diversity and the expertise that people from different backgrounds bring to our business.
Come and join RIB to create the transformative technology that enables our customers to build a better world.