Federal AI Solutions Engineer (Entry Level)
Hybrid - McLean, VA, United States
R
USD 85K-105K Entry-level Full Time
Tasks
- Apply zero trust principles
- Build RAG workflows
- Create AI agent capabilities
- Create reusable templates and accelerators
- Deploy cloud environments on AWS and Azure
- Deploy containerized workloads with AKS
- Deploy containerized workloads with ECS
- Deploy containerized workloads with EKS
- Design AI powered applications
- Develop and deploy AI prototypes
- Develop reference architectures
- Follow NIST AI RMF requirements
- Follow secure coding practices
- Implement CI/CD automation pipelines
- Implement prompt engineering strategies
- Integrate AI solutions with APIs
- Support FedRAMP compliance
- Support technical documentation and architecture diagrams
- Troubleshoot cloud and AI integration issues
- Use AWS CDK
- Use Bicep for deployments
- Use Infrastructure as Code with Terraform
Perks/Benefits
- 401k employer match
- Career growth and mentorship
- Certification reimbursement
- Dental insurance
- Federal Holidays
- Hybrid work
- Medical insurance
- Paid time off
- Professional development reimbursement
- Vision insurance
Skills/Tech-stack
AI Agents | AI RMF | AWS Bedrock | AWS CDK | Amazon Elastic Container Service | Amazon Elastic Kubernetes Service | Azure Kubernetes | Azure Kubernetes Service | Azure OpenAI | Bicep | CI/CD | CrewAI | Data Pipelines | Databases | Docker | Elastic Container Service | Elastic Kubernetes Service | Faiss | FedRAMP | Generative AI | Git | Kubernetes Service | Langchain | Language Models | Large Language Models | Llamaindex | Machine Learning | Milvus | NIST AI | NIST AI RMF | Pinecone | Prompt engineering | Python | REST APIs | Retrieval-Augmented Generation | Secure Coding | Semantic Kernel | Terraform | Vector Databases | Weaviate | Zero Trust
Education
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