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GenAI Designer & Developer

TechDigital Corporation

  • Dallas, TX
  • 30+ days ago

    Highlights

    Integrate GenAI into enterprise workflows (chatbots, copilots, knowledge assistants) as appliable and adoptable for relevant business operations architecting solutions across Azure, AWS. GenAI Solution Design & Development Design and build LLM-powered applications using RAG, embeddings, and vector search architectures.

    Numbers & Facts

    LocationDallas, TX
    IndustryOther/Not Classified
    Company Size100 to 499 employees

    Description

    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)

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