Federal AI Solutions Engineer
Tasks
- Build end to end prototypes with APIs and microservices
- Create reusable accelerators and templates
- Deploy LLM applications on cloud
- Design agentic AI pilots
- Develop infrastructure for AWS and Azure rapid prototyping
- Ensure NIST AI RMF compliance
- Implement FedRAMP and Zero Trust aligned controls
- Implement prompting and planning and execution agents
- Produce internal documentation and best practices
- Provide secure data pipeline and identity architecture guidance
- Set up logging and monitoring for auditability
- Support client delivery teams with technical escalation
- Troubleshoot complex cloud and AI pipeline issues
Perks/Benefits
- 401k match
- Dental insurance
- Health insurance
- Paid time off
- Professional development opportunities
- Remote work
- Vision insurance
Skills/Tech-stack
AKS | AWS | AWS Bedrock | AWS CDK | AWS Cloud | AWS Cloud Development Kit | AWS cloud development | Access Management | Anthropic API | Automation workflows | Azure | Azure OpenAI | Bicep | CI/CD | Cloud Development Kit | Containers | CrewAI | DevOps | DevSecOps | Distributed Systems | ECS | EKS | Event Driven | Event-driven architecture | Faiss | Identity and Access Management | Identity and access | Infrastructure as Code | Java | LLM APIs | LLM orchestration | Langchain | Llamaindex | Logging | MLOps | Microservices | Milvus | Monitoring | Multi-LLM | Multi-LLM Orchestration | Node.js | OpenAI API | Pinecone | Python | RAG | Secure Coding | Secure networking | Semantic Kernel | Serverless | Terraform | Vector Databases | Vector Retrieval | Weaviate | Zero Trust | “as-code”
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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