Job Position:-     Technical Architect

Location :-           Medina, MN Onsite 

Duration:-            LONG TERM

Job Description:-

USC OR GC Only

Data Science-Artificial Intelligence-AI-ML modelling

Key Responsibilities

Design and implement end-to-end document intelligence solutions using Azure AI Foundry .

Build and manage LLM workflows, prompts, and evaluations using Azure AI Foundry / Prompt Flow.

Develop RAG pipelines leveraging vector databases (Azure AI Search etc.).

Perform document ingestion, OCR, preprocessing, chunking, and normalization using Python.

Build and expose REST APIs for AI services using Python.

Apply prompt engineering to improve response accuracy and grounding.

Evaluate and select OCR, embedding, and LLM models based on business needs.

Troubleshoot and optimize AI pipelines for performance and scalability.

Write and optimize SQL or Snowflake queries for data analysis and validation.

Build quick internal tools and demos using Streamlit for business users.

Communicate effectively with stakeholders on requirements, results, and limitations.

Required Skills & Experience

5+ years of relevant experience in AI/ML, data, or applied machine learning.

Strong hands-on experience with:

Azure AI Foundry

Azure Document Intelligence

Vector databases (Azure AI Search), Other Azure components 

Python, including data processing, API development, and Streamlit

Good understanding of LLMs, embeddings, RAG architecture, and prompt engineering.

Solid experience with Microsoft Azure ecosystem (Azure OpenAI, Storage, App Service/Functions, Key Vault).

Strong SQL or Snowflake experience.

Proven delivery of real-world, production-grade document intelligence projects.

Excellent business communication and stakeholder interaction skills.