About the Opportunity

We are seeking a Senior AI/ML Platform Engineer to join our team as a subcontractor supporting a high-impact government initiative. This role is foundational to our Generative AI strategy, focusing on the infrastructure that powers advanced model serving and data retrieval at scale.

This position offers a one-year base period with significant long-term potential. Upon a successful contract recompete, this role includes up to five additional one-year option periods, providing a rare blend of contract flexibility and long-term project stability.

Key Responsibilities

* GenAI Platform Enablement: Architect and maintain the AI Gateway and Model Serving layers to provide seamless, secure access to large language models.

* RAG Infrastructure: Design and optimize Retrieval-Augmented Generation (RAG) pipelines, including the management and scaling of Vector Databases.

* Data Engineering & Optimization: Drive high-performance data processing by leading Spark optimization efforts within a Databricks environment.

* Platform Reliability: Provide robust API endpoint support and develop platform tools that streamline the machine learning lifecycle.

* Cloud Architecture: Manage and scale complex AI/ML workloads natively within AWS.

Technical Requirements

* Experience: 5+ years of professional experience in Platform Engineering, ML Ops, or Data Engineering.

* Cloud & Data Stack: Deep, hands-on proficiency with AWS and Databricks.

* Core Skills: Proven track record with Apache Spark (optimization and scaling) and building/supporting production-grade APIs.

* AI Specialization: Experience with Vector Databases, model deployment, and Generative AI infrastructure.

* Citizenship: Due to the nature of the government contract, U.S. Citizenship is required.

Contract Terms

* Role Type: Subcontractor

* Duration: 12-month initial term + up to 5 additional 1-year options.

* Work Setting: 100% Remote (Candidates must reside in the United States).