Artificial Intelligence Engineer (Center for Government Effectiveness & Modernization)

Artificial Intelligence Engineer (Center for Government Effectiveness & Modernization)

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Department Summary:

MITRE’s Center for Government Effectiveness and Modernization (CGEM) works across US Treasury, Commerce, and the Veterans’ Administration. These agencies affect every household in the country; our job is to make them more effective. The Tax and Data Analytics department (P823) is seeking a Senior Artificial Intelligence Engineer to join our team, located in McLean, VA. As a key member of our data management and strategy team, the Senior Artificial Intelligence Engineer will help the IRS and Tax Administration Division (ITA) by providing technical expertise and task/project leadership on projects using artificial intelligence (AI) and automation to achieve sponsor mission goals. Our data-intensive work includes:

• Improving the customer experience for people interacting with the agency
• Detecting tax non-compliance (identity theft, fraud, filing error, missing filings …)
• Anticipating non-compliance (developing schemes before observation is feasible)
• Sampling and design of experiments
• Assessing tools and technology for government data science use
• Developing data and analytics strategy
• Apply AI concepts to solve tax administration problems.
• Select and develop appropriate AI-based methods and techniques for the problem at hand.
• Develop actionable insights based on analysis across multiple structured and unstructured data sources.
• Be knowledgeable of industry trends, emerging technologies, and regulatory changes related to artificial intelligence.
• Perform across a broad range of assignments.
• Work independently with minimal instructions, guidance, and direction.

Basic Qualifications:

• Requires a minimum of 5 years of related experience with a Bachelor’s degree; or 3 years and a Master’s degree; or a PhD with relevant experience who can immediately contribute at this job step; or equivalent combination of related education and work experience.
• Academic background in mathematics, computer science, computer engineering, electrical engineering, or related technical field.
• Strong problem-solving skills and the ability to think critically.
• Experience in designing and implementing data-intensive AI solutions.
• Excellent communication skills, with the ability to link technical results to the business domain.
• Demonstrated proficiency with programming languages, such as Python, Java, or similar.
• Proficiency with machine learning and/or deep learning frameworks.
• Experience with natural language processing (NLP) and/or Large Language Models (LLMs).
• Must be able to obtain & maintain a US government security clearance (IRS – Suitability).
• This position requires a minimum of 50% hybrid on-site.

Preferred Qualifications:

• Familiarity with cloud platforms such as AWS, Azure, or Google Cloud.
• Experience with data engineering and data querying languages such as SQL.
• Experience with AI model monitoring, test, and evaluation (e.g., drift detection, bias).
• Demonstrated knowledge of the tax administration ecosystem, e.g., compliance processes, taxpayer service, IRS technology and infrastructure.
• Familiarity with data architecture and data management concepts and strategies, such as the data lifecycle, data stewardship and governance.
• Experience working with or leading multidisciplinary teams.

This requisition requires the candidate to have a minimum of the following clearance(s):

None

This requisition requires the hired candidate to have or obtain, within one year from the date of hire, the following clearance(s):

Suitability - IRS

Work Location Type:

Hybrid

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