AI Research & Data Analytics Associate

About the Role

This Fellowship Program position is a full-time, temporary, limited-term assignment not to exceed three years from the date of hire. It is intended for applicants who have graduated with a bachelor's degree or a master's degree from an accredited college or university within the last 12 months. The Artificial Intelligence (AI) Research & Data Analytics Associate Fellow supports the Enterprise AI & Data Management team in researching, prototyping, and evaluating emerging AI technologies, advanced analytics capabilities, and data-driven solutions. The incumbent contributes to applied research, proof-of-concept development, technology assessments, and responsible AI practices that help advance enterprise AI engineering, AI-enabled applications, and modern data platform capabilities. This position works closely with the Enterprise AI & Data Management team, IT staff, and agency employees to explore, validate, and support the adoption of AI and data platform capabilities that deliver organizational value.

Key Responsibilities

AI Research, Innovation, & Development

• Assists with researching emerging AI technologies, trends, tools, and industry practices.
• Assists with evaluating potential applications of generative AI, agentic AI, machine learning, and advanced analytics solutions.
• Summarizes findings and recommendations to support AI initiatives.
• Assists in developing proofs of concept, prototypes, and technical demonstrations to evaluate AI technologies and solutions.
• Supports testing and validation of AI tools, models, and technologies.
• Documents results, lessons learned, and recommendations for future implementation.
• Stays current on developments related to responsible AI, governance, and industry standards.
• Supports the development and enhancement of AI data pipelines, AI-enabled applications, and related solutions.
• Assists with Enterprise AI and Data Platform initiatives, including technologies such as Databricks, Fabric, Azure AI Services, and related platforms.

Documentation, Governance, & Collaboration

• Creates and maintains technical documentation, research summaries, and reusable assets.
• Supports responsible AI practices by considering privacy, security, bias, and governance requirements.
• Collaborates with architects, engineers, analysts, and business teams on AI-related initiatives.

Support Functions

• Assists in completing special projects and performs other work as assigned.
• May assist in researching, compiling, and analyzing data; and preparing simple queries and reports.
• May review forms, correspondence, reports, and other documents for completeness and acceptability.
• May assist in reviewing and analyzing agency policies, procedures, and forms and recommending changes to improve efficiency and effectiveness.

Fellowship Curriculum

• Participates in trainings and projects related to the TRS Fellowship Program including webinars, quarterly check-ins, classes or other learning activities, book group, projects, and the mentoring program.
• Meets TRS Fellowship Program deadlines and goals for completion of trainings and deliverables in a timely manner.
• Performs related work as assigned.

Qualifications

Required Education

• Bachelor's or Master’s degree from an accredited college or university in computer science, data science, artificial intelligence, machine learning, computer engineering, information technology or a closely related field awarded within the last 12 months.

Required Experience

• None.

Required Registration, Certification, Or Licensure

• None.

Preferred Qualifications

• Experience through coursework, internships, research projects, or personal projects developing prototypes or proof-of-concept solutions.
• Exposure to AI and machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn.
• Exposure to Microsoft Azure Services including - Azure AI services, Microsoft Fabric, Azure Databricks.
• Basic understanding of Azure-based data and analytics architectures.
• Basic understanding of APIs, integrations, and software development concepts.
• Familiarity with cloud computing platforms and modern data environments.

Knowledge Of

• Generative AI and Agentic AI Concepts (RAG, AI Agents, Context Engineering, Prompt & Harness Engineering).
• Application Development with Python.

Skills In

• Python, LangChain/Microsoft Agentic Framework.
• Azure AI Services, Databricks, Fabric, Snowflake.
• Communicating basic technical information to people of all levels of technical knowledge.
• Managing conflicting priorities and demands.
• Planning, organizing, and coordinating work to meet frequent and/or multiple deadlines; and handling multiple tasks simultaneously.

Ability To

• Establish and maintain harmonious working relationships with co-workers, agency staff, and external contacts.
• Work effectively in a professional, matrix team environment.
• Create technical documentation, present findings to the broader team.
• Demonstrate intellectual curiosity, continuous learning and self-directed research.