AI Database Platform Lead

Work Authorization: U.S. Citizens and Green Card holders only

AI Database Platform Lead

Location: Dallas, TX, onsite

Duration: Long-Term Contract

Key Responsibilities

* Lead the architecture and design of enterprise database and data platforms supporting AI, ML, and Generative AI applications.

* Design scalable solutions for integrating AI platforms with structured and unstructured enterprise data.

* Provide technical leadership across database, data engineering, AI, and cloud platform initiatives.

* Evaluate existing database and data environments and recommend modernization and optimization approaches.

* Design data access and integration patterns for AI/GenAI applications, including APIs, data pipelines, vector search, and retrieval-based solutions.

* Support the implementation of RAG and other AI architectures that require secure access to enterprise data.

* Work with engineering teams to address database performance, scalability, availability, and reliability.

* Establish architecture standards and best practices for AI and database platform integration.

* Ensure appropriate security, governance, access controls, and data protection are incorporated into platform designs.

* Collaborate with application, infrastructure, DevOps, data engineering, and AI/ML teams.

* Lead technical discussions, architecture reviews, proof-of-concepts, and solution evaluations.

* Troubleshoot complex platform and integration issues and provide technical direction to engineering teams.

* Mentor technical team members and provide guidance throughout design, development, and implementation.

Required Qualifications

* Strong experience in **database, data platform, or enterprise platform architecture**.

* Experience designing and implementing highly scalable enterprise database solutions.

* Strong understanding of relational and NoSQL database technologies.

* Experience with modern cloud-based or hybrid data platforms.

* Hands-on understanding of **AI/ML and Generative AI architectures**.

* Experience integrating AI applications with enterprise databases and data sources.

* Understanding of **LLMs, RAG, embeddings, vector databases/vector search, and AI data pipelines**.

* Strong knowledge of APIs, data integration, data modeling, and distributed systems.

* Experience with database performance, scalability, high availability, and disaster recovery concepts.

* Understanding of data security, governance, authentication, authorization, and enterprise security practices.

* Experience leading architecture and technical design discussions across multiple engineering teams.

* Strong troubleshooting, communication, and stakeholder-management skills.

* Ability to work both as a technical lead and hands-on contributor.

Preferred Qualifications

* Experience with major cloud platforms such as AWS, Azure, or GCP.

* Experience with enterprise database technologies such as Oracle, PostgreSQL, SQL Server, MySQL, or similar platforms.

* Exposure to modern data platforms such as Snowflake, Databricks, or equivalent technologies.

* Experience with vector databases or vector-enabled database platforms.

* Experience building or supporting production **GenAI/RAG solutions**.

* Familiarity with LLM frameworks, AI APIs, model integration, and agentic AI concepts.

* Experience with Kubernetes, containers, CI/CD, Infrastructure as Code, and DevOps practices.

* Experience leading enterprise platform modernization or cloud transformation initiatives.