AI Architect
Home Office: Tysons, VA, United States
USD 149K-248K Senior-level Full Time
Tasks
- Architect and implement enterprise grade AI solutions
- Build LLM-based systems
- Build scalable agentic AI architectures
- Deploy AI solutions to cloud production
- Design and implement MLOps pipelines
- Develop AI platforms and pipelines
- Establish CI/CD and infrastructure-as-code
- Implement RAG solutions
- Lead solution design for strategic AI initiatives
- Mentor and coach AI engineers
- Partner with stakeholders to deliver AI use cases
Perks/Benefits
- 401k retirement plan
- Adoption Assistance
- Dental insurance
- Employee referral program
- Flexible spending accounts
- Health savings account
- Learning opportunities
- Long-term disability
- Medical insurance
- Mobility stipend
- Paid Holidays
- Parental leave
- Short-term disability
- Sick time
- Student loan paydown
- Tuition reimbursement
- Vision insurance
Skills/Tech-stack
AWS | Agentic AI | Azure | CI/CD | Cloud Native | Cloud-native development | Compliance | Data Governance | Data Pipelines | Data Privacy | Data Quality | Databricks | Generative AI | Google Cloud | Infrastructure as Code | Language Models | Large Language Models | MLOps | Model Evaluation | Native Development | Orchestration | Prompt engineering | Responsible AI | Retrieval-Augmented Generation | Security controls | “as-code”
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
AI | AI Architect | Architect | Engineer | Learning Engineer | Machine Learning Engineer
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