What are the responsibilities and job description for the Sr. AI Data Engineer (GCP, Vertex AI & Terraform) - Only on W2 position at Miracle Software Systems, Inc?
We, (Miracle Software Systems, Inc), are actively looking for "Sr. AI Data Engineer (GCP, Vertex AI & Terraform)" to work #Full-Time / Contract on W2 with our Direct Client.
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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 (GCP) 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 GCP.
- 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.
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About Miracle Software Systems:
Miracle Software Systems, Inc. is Premier Partner of IBM and a National Implementation Partner of SAP since 1998. 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 6 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.
If interested please send your updated resume and details to #pcheedi@miraclesoft.com or call me at #248-233-3625.