Solutions Architect

• Agent Architecture & Workflow Design

• Consult with internal and client teams to determine which agent workflows need to be created for specific use cases.

• Define capabilities, intents, and interaction flows of AI agents to meet business goals.

• Design the system architecture for multi-agent orchestration and model integration.

• Model Strategy & Execution

• Guide the selection, fine-tuning, and integration of LLMs, RAG pipelines, and transformer-based models.

• Define how models will interact with different data modalities (text, audio, video, structured data).

• Evaluate and benchmark model performance and retraining needs.
  
  Data Enrichment & Intelligence

• Advise on how to configure, enrich, and pre-process data (structured/unstructured) for maximum model performance.

• Oversee entity extraction, topic modeling, summarization, and other NLP-driven enrichment techniques.

• Ensure data pipelines are designed for continuous learning and improvement.
  
  Solution Implementation & Code Ownership

  • Lead prototyping and MVP development, translating architecture into production-grade solutions.

  • Collaborate with developers to build scalable AI services and interfaces.

  • Write clean, efficient, and modular code to integrate AI components.
     

Stakeholder Engagement & Technical Consultation

• Translate complex AI concepts into actionable recommendations for non-technical stakeholders.

• Provide strategic input on product direction, capabilities, and limitations.

  • Maintain a high degree of ownership and accountability across all initiatives.