Principal Technology Consultant

Overview

REI Systems’ mission is to deliver reliable, innovative technology solutions that advance Federal clients' missions and exceed their expectations. Our technologists and consultants are passionate about solving complex challenges that impact millions of lives. We take a Mindful Modernization® approach in delivering our services, including application modernization, grants management, case management systems, government data analytics, and advisory services. This approach, the REI Way, ensures mission impact by aligning our clients' strategic objectives with measurable outcomes through people, processes, and technology.  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 and 2024! 

Responsibilities

Position Overview:

REI Systems is seeking a skilled Principal Technology AI Consultant 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

Qualifications:

 

Education and Experience

• Bachelor’s degree in Computer Science, Data Science, or a related field; Master’s degree preferred.
• 8 plus 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

• P