| Job Description (Posting). | Work Location (City, State): Dallas, TX
Open for Remote (Yes/No): No
Client Interview (Yes/No): Yes
Job Title/Role Name: GenAI Solution Designer & Developer
Experience level: 10+ years
Job 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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