AI Solution Architect
Tasks
- Architect multi agent systems and orchestration
- Build AI frameworks for fine tuning and prompt engineering
- Create and monitor optimize AI prompts and automations
- Define governance metrics and scale repeatable delivery models
- Deploy and learn in rapid production release cycles
- Design and evaluate MCP servers for enterprise tools
- Design build and maintain agent based enterprise automation
- Develop internal and external applications and services
- Ensure responsible AI practices fairness explainability monitoring and ethics
- Establish agent reliability observability and fallback patterns
- Integrate LLMs tools APIs and enterprise data into workflows
- Lead integration and adoption of AI tools and agents
- Mentor AI engineers through technical leadership
- Own AI first architecture and delivery lifecycle
- Set API design standards and interoperability guardrails
- Support CI CD pipeline automation and security scanning agents
- Translate Agile artifacts into agent ready specifications
Perks/Benefits
- N/A
Skills/Tech-stack
.NET | API Design | Agent Orchestration | Agent systems | Azure | Azure SQL | Azure SQL Managed Instance | C# | CI/CD | Caching | Claude API | Distributed Systems | Experiment tracking | Fine Tuning | Interoperability | LLM | LLM APIs | MCP server | Managed Instance | Model Monitoring | Multi-Agent | Multi-Agent Systems | Observability | Prompt engineering | Queues | RESTful APIs | React | Retrieval-Augmented Generation | SQL Managed Instance | SQL Server | Secure Development | Streaming APIs | Testing | TypeScript | Version control
Education
N/A
Roles
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