8 дней назад
Senior AI Data Engineer
115 000 - 155 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior AI Data Engineer (AI/Data Engineering): Building cloud-native data pipelines, data lakes, warehouses, and operational agentic AI systems for federal missions with an accent on generative AI, LLM integrations, vector databases, and production scalability. Focus on designing medallion architectures, deploying AI workflows with IaC and CI/CD, and optimizing reliable systems across cloud platforms.
Location: On-site in McLean, Virginia; Boston, Massachusetts; Warner Robins, Georgia; or Wright-Patterson Air Force Base, Ohio, United States
Salary: $115,000–$155,000 annually
Company
delivers AI, cloud, cybersecurity, and modernization solutions for federal agencies, including defense, health, and humanitarian missions.
What you will do
- Build and optimize data pipelines for generative AI and large language model applications.
- Engineer cloud data lakes and warehouses across AWS, Azure, and GCP using Bronze, Silver, and Gold medallion architecture.
- Model, query, load, monitor, and tune SQL and NoSQL data stores at scale.
- Collaborate with data engineers, software engineers, and data scientists to develop operational agentic AI systems.
- Automate model deployment with Infrastructure as Code, CI/CD, and container orchestration.
- Monitor production AI systems, improve performance and reliability, and maintain clear technical documentation.
Requirements
- U.S. citizenship and eligibility for a DoD Secret clearance are required.
- Bachelor’s or Master’s degree in Computer Science, Data/AI/ML, or a related field.
- 7+ years of experience delivering Data/AI/ML solutions.
- Experience with ETL/ELT, enterprise data systems, SQL and NoSQL databases, cloud platforms, and data pipeline technologies.
- Experience with vector databases, embeddings, generative AI, LLMs, tool calls, agents, AI APIs, and RAG search.
- Familiarity with CI/CD pipelines, VS Code, and AI development extensions.
Nice to have
- Python and experience with PySpark, Pandas, Pydantic, FastAPI, CrewAI, LangChain, LangGraph, or related frameworks.
- Infrastructure as Code experience with Terraform, OpenTofu, AWS CDK, or CloudFormation.
- Experience with agentic frameworks such as Agent2Agent Protocol, AWS Bedrock Agents, Mastra, CrewAI, Strands, or AgentCore.
- Knowledge of federal cybersecurity, RMF, FedRAMP, or regulatory frameworks.
Culture & Benefits
- Work supports national security, public health, and humanitarian missions.
- Collaborative, innovation-focused environment with technical mentorship and opportunities to mentor others.
- Medical, dental, and vision coverage.
- 401(k), IRA, life insurance, paid time off, family leave, and disability coverage.
- Training, development, and wellness resources.
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