Data AI Engineer

Amivero•Washington, DC

1d•Hybrid

About The Position

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.

Requirements

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.

Nice To Haves

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

Responsibilities

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.