ECS is seeking a Sr. Artificial Intelligence Engineer to support a rapidly growing Data Analytics and Business Intelligence platform focused on providing solutions that empower Federal customers with the tools and capabilities needed to turn data into actionable insights.
Requirements
- 7+ years of IT experience including experience in working with modern cloud data warehouse technologies
- Experience with Large Language Models, NLP, GenAI, and scaling of AI tools
- Proficiency developing ETL processes, and performing test and validation steps
- Proficiency to manipulate data (Python, R, SQL, SAS)
- Strong experience with prompt engineering
- Experience with setting up, monitoring, and maintaining cloud database instance
- Experience with designing table models using start or snowflake schemas
Responsibilities
- Complete development efforts across data pipeline to store, manage, store, and provision to data consumers
- Partner with data scientists, data architects, and federal stakeholders to deploy AI/ML models in production
- Write code to ensure the performance and reliability of data extraction and processing
- Support continuous process automation for data ingest
- Achieve technical excellence by advocating for and adhering to lean-agile engineering principles and practices such as API-first design, simple design, continuous integration, version control, and automated testing
- Work with program management and engineers to implement and document complex and evolving requirements
- Collaborate with others as part of a cross-functional team that includes user experience researchers and designers, product managers, engineers, and other functional specialists
Other
- Must be a US Citizen
- Must be able to obtain a Public Trust Clearance
- Being an active and collaborating member of an Agile/Scrum team and following all Agile/Scrum best practices
- Help cultivate an environment that promotes customer service excellence, innovation, collaboration, and teamwork
- A passion for staying updated with the latest advancements in AI/ML and data engineering
