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# Forward-Deployed Data & AI Engineer

- **Company:** Indotronix Avani Group
- **Location:** Birmingham, AL, United States
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Big Data, Information Engineering, Data Governance, Data Integration, Data Systems, Python (Programming Language), Tensorflow, Software Engineering, SQL Databases, Enterprise Data Management, Model Context Protocol, Api Management, Databricks
- **Published:** October 10, 2026
- **Apply:** https://candidateportal.ceipal.com/job-details/0VRTOKh3IxdVTMYTafcah0FdKnVH-t2Zgrr4UeJg7Dk

## About the Role

Strong hands-on experience with Databricks development and architecture.

 - Proficiency in Python and SQL for data engineering tasks.
 - Proven track record in building and deploying data, AI/ML, and generative AI applications.
 - Skilled in application development, deployment, and enterprise data integration.
 - Deep familiarity with Model Context Protocol (MCP) and enterprise data environments.
 - Self-starter with the ability to work independently while engaging collaboratively with stakeholders.
 - Demonstrated ownership in driving projects to completion within complex technical landscapes.

Preferred Skills:

 - Advanced experience with AI/ML frameworks and large-scale data pipeline optimization.
 - Exposure to enterprise data governance strategies and cloud-based data solutions.
 - Experience in developing and scaling API integrations., Forward Deployed Engineer - * Must be a forward deployed engineer - we need someone who can Someone who can take ownership of existing initiatives develop solutions and help get projects across the finish line* Needs to understand architecture Sustainability scalability and AI-enablement* MCP ((Model Context Protocol) related and Data Integration work is required * Very strong Databricks Experience

## Description

Step into a high-impact, hands-on position as a Forward-Deployed Data & AI Engineer, where you'll bridge the gap between business needs and technical execution. You'll partner closely with stakeholders to accelerate the delivery of AI, analytics, and Databricks-powered solutions, taking ownership of projects from ideation to deployment. This is a unique opportunity to work in a dynamic environment, directly shaping scalable, sustainable, and future-ready data solutions., Collaborate directly with business and technical stakeholders to advance Databricks-based initiatives and drive project success.

 - Design, develop, test, and deploy robust data and AI/ML applications, ensuring production readiness.
 - Enhance existing Databricks applications and AI-enabled tools, optimizing data pipelines for performance and reliability.
 - Integrate MCP (Model Context Protocol) capabilities and support seamless data integration across enterprise sources.
 - Translate high-level business requirements into scalable, maintainable solutions that align with long-term business objectives.
 - Implement and uphold data management and governance best practices to enable future AI adoption.
 - Prioritize and execute strategic initiatives in partnership with cross-functional teams, ensuring timely project delivery.
 - Proactively identify opportunities to improve scalability, maintainability, and sustainability across the data ecosystem.