Sr. AI Data Engineer - (Google Cloud Platform, Agentic AI & Terraform) - Only on W2

Job Description:
This role is pivotal in transforming complex system level data into high-quality, AI ready data products. The ideal candidate will bridge the gap between backend data orchestration and frontend application development within a robust Google Cloud Platform (Google Cloud Platform) environment.

Core Responsibilities:
Data Translation & Modeling: Translate complex system level data into business friendly entities and semantic models. Design models to enable Generative AI and Agentic AI ready datasets and presentation ready data products within Google Cloud Platform.
Full Stack & Orchestration: Build and maintain the orchestration, serving, and API integration layers. Leverage Cloud Dataflow for stream and batch processing, and Pub/Sub for real-time messaging to support autonomous agent workflows.
CI/CD & Infrastructure as Code: Implement and manage robust CI/CD pipelines using GitHub Actions. Automate infrastructure provisioning using Terraform and manage GitHub branching strategies (Dev, Stage, Prod).
Data Lifecycle Management: Perform discovery, preparation, and integration of datasets for MVP and production use. Integrate requirements with existing enterprise data landing platforms, in both structured and unstructured data formats.
AI & Agentic Integration: Work closely with Vertex AI to deploy and manage machine learning models. Design data structures that support agentic reasoning, tool calling, and long term memory.
Governance & Documentation: Develop and maintain data dictionaries and metadata documentation to ensure observability and high data quality for autonomous system grounding.
Strategic Collaboration: Participate in discovery sessions and prototyping phases, mapping end-to-end customer journeys to specific data requirements in collaboration with cross-functional teams.

Technical Skills & Qualifications:
Development: Proficiency in Full Stack development with a strong emphasis on software engineering components (orchestration and serving layers).
Data Engineering: Strong experience in data pipeline development using SQL, Python, Cloud Run, Cloud Functions and Cloud Composer
Data Governance Framework: Deep technical knowledge of Data Governance Framework, Data Quality, Metadata Management and Data Security.
AI & Agentic AI: Experience preparing datasets for Vertex AI and building data foundations for Agentic AI frameworks (reasoning, planning, and execution).
Automation & IaC: Expert-level experience with GitHub Actions for CI/CD and Terraform for infrastructure management.
Modeling: Expertise in dimensional data modeling, semantic layers, and metadata management.
Application Integration: Expertise in integrating with, and serving to, 3rd-party applications and web portals.

-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------Miracle Software Systems, Inc. is Premier Partner of IBM and a National Implementation Partner of SAP since 1998.WE have been in business for the last 30 years specializing on SAP Implementations, SOA / EAI / B2B Technologies. We are also a reseller of IBM Software Products. We are a Global Systems Integrator with Presence in 5 Countries. We also have a Large Offshore Facility located in India. We specialize on BPM tools like IBM Lombardi / BPM7.5 and also have a large Sterling Commerce Practice. We also have a large E-Commerce Practice based on IBM Portals / WebSphere Commerce Server. Miracle B2B Practice has been built on WTX / Gentran / Data Power / WPG / Trading Manager / Sterling GIS and other leading Products in the Market. We are based out of Novi, Michigan.

Thanks & Regards,

Praveen Cheedi
Sr. HCM Executive
Miracle Software Systems, Inc.45625
Grand River AvenueNovi MI(48374) USA