Data AI Engineer

The Amivero Team

Amivero’s team of IT professionals delivers digital services that elevate the federal government, whether national security or improved government services. Our human-centered, data-driven approach is focused on truly understanding the environment and the challenge, and reimagining with our customer how outcomes can be achieved.

Our team of technologists leverage modern, agile methods to design and develop equitable, accessible, and innovative data and software services that impact hundreds of millions of people.

As a member of the Amivero team you will use your empathy for a customer’s situation, your passion for service, your energy for solutioning, and your bias towards action to bring modernization to very important, mission-critical, and public service government IT systems.

Special Requirements

Active Interim Secret, Secret, Top Secret, or TS/SCI required

Bachelor Degree + 15 years of experience

Ability to work hybrid schedule in Arlington or Alexandria, VA

The Gist…

We are seeking an experienced Data AI Engineer to design, develop, and implement AI-driven data solutions supporting critical federal government missions. The ideal candidate is a seasoned engineer with deep expertise in Python development, machine learning, data engineering, and modern AI technologies. This individual will collaborate with cross-functional teams to build scalable data pipelines, develop intelligent applications, and integrate AI capabilities into enterprise systems.

This is a hybrid position requiring the ability to work on-site in Crystal City, VA or Fort Belvoir, VA as needed.

• Design, develop, and maintain AI-enabled data solutions using Python and modern data engineering frameworks.
• Build and optimize ETL/ELT pipelines for structured and unstructured data.
• Develop machine learning and generative AI applications to solve complex business problems.
• Design, train, evaluate, and deploy machine learning models into production environments.
• Integrate Large Language Models (LLMs), Retrieval Augmented Generation (RAG), vector databases, and AI orchestration frameworks into enterprise applications.
• Develop REST APIs and microservices to support AI and data platforms.
• Build scalable data processing workflows using cloud-native technologies.
• Perform data cleansing, feature engineering, and exploratory data analysis.
• Work closely with data scientists, software engineers, DevSecOps teams, and business stakeholders to deliver AI solutions.
• Ensure solutions comply with federal security requirements and cybersecurity best practices.
• Create technical documentation, architecture diagrams, and implementation guidance.
• Mentor junior engineers and provide technical leadership on AI and data engineering initiatives.
• Bachelor's degree in Computer Science, Data Science, Information Systems, Engineering, Mathematics, or a related technical field.
• Minimum 15 years of professional IT experience.
• Minimum 5 years of experience developing solutions using Python.
• Experience building enterprise data pipelines and data integration solutions.
• Experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn.
• Experience developing Generative AI applications utilizing LLMs.
• Experience working with SQL and NoSQL databases.
• Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform.
• Experience using Git and modern software development practices.
• Strong understanding of APIs, containerization, and CI/CD pipelines.
• Excellent analytical, troubleshooting, and problem-solving skills.
• Strong written and verbal communication skills.
  
  
  

EOE/M/F/VET/DISABLED

All qualified applicants will receive consideration without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, disability, genetic information, marital status, amnesty, or status as a covered veteran in accordance with applicable federal, state and local laws. Amivero complies with applicable state and local laws governing non-discrimination in employment in every location in which the company has facilities.