AI Architect
Home Office: Tysons, VA, United States
USD 149K-248K Senior-level Full Time
Tasks
- Advance AI Studio capabilities
- Apply CI/CD and Infrastructure as Code practices
- Architect and implement enterprise grade AI solutions
- Automate development environments and ensure code quality
- Build secure scalable cloud native solutions on AWS Azure and GCP
- Deploy scalable agentic AI architectures
- Develop LLM based systems and RAG solutions
- Identify high impact AI use cases and deliver MVPs and production solutions
- Implement MLOps for model lifecycle management
- Lead design and development of AI platforms and pipelines
- Mentor and coach AI engineers and delivery teams
- Serve as technical leader for strategic AI initiatives
Perks/Benefits
- 401k retirement plan
- Adoption Assistance
- Employee referral program
- Health savings account
- Parental Leave and Adoption Assistance
- Parental leave
- Student loan paydown
- Tuition reimbursement
- Tuition reimbursement and learning opportunities
Skills/Tech-stack
AWS | Agentic AI | Azure | CI/CD | Cloud platform | Compliance | Data Governance | Data Pipelines | Databricks | Generative AI | Google Cloud | Google Cloud Platform | Infrastructure as Code | Language Models | Large Language Models | MLOps | Model Evaluation | Orchestration | Privacy | Prompt engineering | RAG | Responsible AI | Security controls | “as-code”
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
AI | AI Architect | Architect | Data Science | Data Science Architect
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