Sr. Data and AI Architect (Hybrid)
MCK-Henneman Way, United States
R
USD 147K-211K (estimate) Senior-level Full Time
Tasks
- Architect AI-enabled systems
- Architect ETL and ELT workflows
- Architect agentic AI systems
- Deliver critical enterprise initiatives
- Design MCP based integrations
- Design and maintain enterprise data models
- Design and oversee enterprise data and AI architecture solutions
- Establish data and AI governance frameworks
- Evaluate and optimize data architecture challenges
- Implement retrieval-augmented generation pipelines
- Integrate AI chatbot front end with backend services
- Lead AI platform strategy and architecture
- Mentor data and AI engineering teams
- Monitor and evaluate AI agent behavior
Perks/Benefits
- 401k match
- Company paid professional courses
- Counseling benefits
- Discounted tickets
- Education reimbursement
- Health, dental, and vision insurance
- Life insurance benefits
- Paid Holidays
- Paid time off
- Parental leave
- Pension plan
Skills/Tech-stack
.NET | AI Explainability | AI Governance | ASP.Net Core | AWS | AWS Data | AWS Data Catalog | AWS Glue | Agent Orchestration | Agentic AI | Amazon Bedrock | Amazon Q | Amazon Redshift | Amazon S3 | Angular | Azure OpenAI | C# | Data Catalog | Data Lakes | Data Modeling | Data Privacy | Data Warehousing | Database Design | Dimensional Modeling | ELT | ETL | Generative AI | Human-in-the-loop | Informatica | Language Models | Large Language Models | Model Context Protocol | Monitoring | Multi-Agent | Multi-agent orchestration | Observability | OpenSearch | Performance Tuning | Pinecone | Prompt chains | Prompt engineering | REST APIs | Retrieval-Augmented Generation | SQL | SSIS | The Loop | Tracing | Vector Databases | Web API
Education
Roles
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