Principal AI Engineer at REI Systems

Sterling, Virginia, United States -

Full Time

Start Date

Immediate

Expiry Date

10 Jan, 26

Salary

0.0

Posted On

12 Oct, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

AI Architecture, Data Science, Cloud Platforms, Machine Learning, Python, TensorFlow, PyTorch, Scikit-learn, Data Preprocessing, Feature Engineering, Model Evaluation, AWS, Azure, GCP, Snowflake, Databricks, Low-Code Platforms

Industry

IT Services and IT Consulting

Description

Overview REI Systems’ mission is to deliver reliable and innovative technology solutions that empower federal, state, local, and nonprofit organizations to achieve their missions. For over 35 years, we’ve helped our customers solve complex challenges, make data-driven decisions, streamline processes, and improve citizen services. As a 100% employee-owned company, we are all directly invested in delivering excellence. With a fierce commitment to mission impact, we ensure measurable outcomes that align with our customers’ strategic goals. We offer the same commitment to our employees by providing professional development, meaningful projects, and flexibility to spend time with family and friends. We believe employees are at their best when fulfilled in both their professional careers and their personal lives. Learn more at www.REIsystems.com. Employees voted REI Systems a Washington Post Top Workplace in 2015, 2016, 2018, 2020, 2021, 2022, 2023, 2024, and 2025! Responsibilities Position Overview: REI Systems is seeking a skilled AI Engineer to join our innovative AI Team within the Office of the CTO. This role requires a unique mix of AI architecture expertise and data science proficiency. The ideal candidate will design, develop, and implement AI/ML solutions for Federal agencies, leveraging cloud-based services and advanced data science methodologies. The AI Engineer will also drive innovation by creating proof-of-concepts (PoCs) and contributing to impactful AI-driven solutions for mission-critical outcomes. Key Responsibilities and Activities Solution Design and Implementation Architect and design scalable AI/ML solutions using cloud platforms such as AWS, Azure, and Google Cloud AI. Collaborate with cross-functional teams to gather requirements, assess feasibility, and define technical specifications for AI projects. Develop and implement AI-driven prototypes and PoCs to demonstrate the value of AI to clients. AI/ML Model Development Apply core data science techniques, including data preprocessing, feature engineering, and model selection. Build, train, deploy and optimize machine learning models using frameworks like TensorFlow, PyTorch, and Scikit-learn. Ensure AI/ML solutions meet performance, accuracy, security and interpretability standards. Experience with generative AI models and methodologies is a strong plus. Data Preparation and Integration Analyze and preprocess structured and unstructured data for AI model development. Collaborate with data engineers to design and optimize data pipelines for AI workflows. Address data quality, completeness, and bias issues to ensure robust AI outcomes. Leverage platforms like Snowflake and Databricks for data processing and AI solution integration. Cloud Integration and Deployment Utilize cloud-native AI/ML services, including managed AI services, AutoML, and serverless architectures. Deploy AI models and solutions in cloud environments, ensuring scalability and performance optimization. Monitor and maintain deployed models, iterating as necessary based on feedback and performance metrics. Collaboration and Stakeholder Engagement Partner with internal account teams across all Business Units, to support pre-sales and sales activities by presenting AI solutions to Federal clients. Collaborate with clients and stakeholders to align AI solutions with business goals and regulatory requirements. Provide technical leadership and mentorship to junior team members and account team members on AI/ML methodologies and best practices. Low-Code and Emerging Technologies Understand and incorporate AI features of low-code platforms like Salesforce and Appian into AI/ML solutions where applicable. Advise on integrating low-code and AI capabilities to enhance application development processes, solution efficiency and effectiveness. Stay up-to date on advancements in AI technologies and solutions Qualifications Experience 6–8 years of total experience, with at least 4 years in AI/ML solution design and implementation. Proven track record of working with cloud-based AI/ML platforms (AWS, Azure, GCP). Technical Skills Proficiency in Python and experience with ML frameworks like TensorFlow, PyTorch, and Scikit-learn. Strong knowledge of data preprocessing, feature engineering, and model evaluation techniques. Experience with cloud AI/ML services such as AWS SageMaker, Bedrock, Azure ML, or GCP AI Platform. Familiarity with big data platforms like Snowflake and Databricks. Understanding of low-code platforms with AI capabilities, such as Salesforce and Appian, is a plus. Soft Skills Strong problem-solving abilities and critical thinking skills. Excellent communication and interpersonal skills, with the ability to articulate technical concepts to non-technical audiences. Adaptability and eagerness to stay updated with evolving AI/ML technologies. Preferred Qualifications AI/ML certifications (e.g., AWS Machine Learning Specialty, Azure AI Engineer). Experience working with Federal agencies or large-scale enterprises. Familiarity with ethical AI principles and responsible AI practices. Additional Requirements Ability to obtain and maintain relevant security clearances. Join us at REI Systems and be at the forefront of Federal AI innovation, contributing to impactful solutions that drive mission-critical outcomes. Education: Bachelor’s degree in Computer Science, Data Science, or a related field; Master’s degree preferred. Location:Hybrid – 1 to 2 days per week at REI Systems’ Sterling, VA office. EEO Statement: REI Systems is an Equal Opportunity Employer #LI-HYBRID #LI-TK1

Responsibilities

The Principal AI Engineer will design, develop, and implement AI/ML solutions for Federal agencies, leveraging cloud-based services and advanced data science methodologies. This role includes creating proof-of-concepts and contributing to impactful AI-driven solutions for mission-critical outcomes.