GenAI Solution Designer & Developer

Shrive Technologies LLC

Job Location:

Dallas, TX - USA

Monthly Salary: Not Disclosed

Posted on: 8 days ago

Vacancies: 1 Vacancy

Job Summary

MUST HAVE
GenAI Solution Design & Development

Design and build LLM-powered applications using RAG embeddings and vector search architectures
Develop Copilot-based AI assistants and agents for enterprise use cases (automation Q&A workflow orchestration)
Engineer end-to-end GenAI pipelines including prompt engineering context handling and response orchestration
Build reusable AI components (agents pipelines guardrails) to accelerate solution delivery

Copilot & AI Agent Development

Develop and customize copilots using Microsoft Copilot Studio / Azure Foundry
Integrate copilots with enterprise systems (ERP CRM ServiceNow APIs)
Design conversational workflows triggers and automation actions
Enable enterprise-grade features such as:
Role-based access and identity integration
Knowledge grounding using enterprise data
Responsible AI guardrails (toxicity hallucination control)

Snowflake Cortex / Data AI Engineering

Develop AI-powered applications using Snowflake Cortex AI functions and Snowpark
Implement vector search semantic models and AI-driven analytics workflows
Integrate structured and unstructured data pipelines to support AI models
Build self-service AI capabilities on data platforms with governance and cost optimization

AI/ML Engineering & MLOps

Build and deploy models using Azure OpenAI AWS Bedrock or similar platforms

Create scalable pipelines for:

Model deployment
Monitoring and observability
Continuous improvement loops

GOOD TO HAVE
Implement AI guardrails evaluation frameworks and feedback loops for production systems

SDLC Automation with GenAI
Leverage tools like GitHub Copilot for:
Code generation test automation debugging and documentation
Automate SDLC activities using GenAI (requirements code testing deployment)
Enable developer productivity improvements and automation-first engineering
GenAI/LLM solutions (RAG vector databases prompt orchestration)
ALign busines priorities with AI outcomes with tangible outcomes and optimizations
Define and curate strategy for Model training inference and monitoring AI OPS AI governance elements Responsible AI fairness and explain ability
Integrate GenAI into enterprise workflows (chatbots copilots knowledge assistants) as appliable and adoptable for relevant business operations architecting solutions across Azure AWS
Manage AI /Ops and related governance from data collection to retraining and monitoring model drifts

Technical Skills:

Hands on knowledge of data models SQL data lifecycle management
Strong knowledge of AI/ML algorithms data structures and performance optimization.
Proficiency in programming languages such as Python SQL and PySpark.
Experience with cloud platforms (AWS Azure) and big data technologies (Spark Snowflake)

MUST HAVE GenAI Solution Design & Development Design and build LLM-powered applications using RAG embeddings and vector search architectures Develop Copilot-based AI assistants and agents for enterprise use cases (automation Q&A workflow orchestration) Engineer end-to-end GenAI pipelines including ...