Data Scientist/Systems Architect

BT-94 – Senior Data Scientist/Systems Architect
Location: Tysons (fully on-site, no remote option)

**MUST HAVE A POLY CLEARANCE TO APPLY**

As a Data Scientist/System Architect, you will be thrust into the forefront of technological innovation, where your expertise will shape the future of Generative AI (GenAI) tools. Your role demands a mastery in designing, architecting, and prototyping AI solutions that are versatile enough to be deployed across various platforms. Your proficiency in Python will be crucial, and you will also be expected to have a robust understanding of system design and architecture, particularly in crafting microservice architectures. Your ability to navigate and manipulate databases using SQL will be required, as will your proficiency with GenAI and LLM models, which are essential for the data science and engineering aspects of your role.

In this position, you will join a dynamic team dedicated to delivering cutting-edge technical solutions that meet the needs of mission stakeholders. Your responsibility extends to the creation of GenAI agents capable of synthesizing information from diverse inputs and data corpuses. Ensuring traceability of the generated information back to its source will be a critical aspect of your work. Moreover, you will develop searchable source metadata catalogues, enhancing the accessibility and organization of information. A key part of your role will involve implementing verification processes to prevent AI hallucination, ensuring the integrity and accuracy of content produced by AI agents.

To excel in this role, experience with AWS cloud architecture will be highly beneficial, as many of the systems you'll be prototyping will be cloud-based. While not mandatory, knowledge of Java will serve as a valuable asset in your toolkit. You will be expected to navigate the complexities of AI model implementation in a mission-driven environment and your ability to innovate and prototype AI agents across multiple platforms will be crucial, as will your commitment to maintaining the veracity of the information generated by these systems. Your success in this role will be defined by your technical acumen, your ability to work collaboratively within a team, and your drive to push the boundaries of what is possible with AI technology.

Here is what you need:

• Design, architect, and prototype generative AI tools deployable on multiple platforms
• Strong python skills
• System design and architecture
• Microservice architecture development
• SQL
• GenAI and LLM Model expertise
• Data science experience
• AWS cloud architecture
• Bonus is Java

Bonus if you have:

• Field specific skills or certifications related to AI model development and implementation

Education:

• Bachelor's Degree