Senior Azure Generative AI Engineer - Local to Dallas, TX

Senior Azure Generative AI Engineer - Local to Dallas, TX

Category: Software Development/Engineering

Main location: United States, Texas, Dallas

Position : J

Employment Type: Full Time

Position

Description:

This role will require someone in our client office five days a week in Dallas, TX.

• Design, develop, and deploy enterprise Generative AI solutions using Microsoft Azure AI services.
• Build AI powered applications utilizing Azure OpenAI Service, Azure AI Foundry, Azure Machine Learning, and Azure Cognitive Services.
• Design and implement Retrieval Augmented Generation (RAG) solutions using Azure AI Search and vector databases.
• Develop scalable data ingestion, transformation, and preprocessing pipelines to support AI model training and inference.
• Fine tune, evaluate, and optimize Large Language Models (LLMs) for enterprise specific use cases.
• Collaborate with solution architects, data engineers, and business stakeholders to define AI solution architectures and implementation strategies.
• Integrate AI services into enterprise applications using REST APIs, Python, and Azure cloud services.
• Implement MLOps and LLMOps best practices for model deployment, monitoring, governance, and lifecycle management.
• Ensure AI solutions comply with enterprise security, responsible AI, and regulatory requirements, particularly within the banking and financial services domain.
• Troubleshoot production AI solutions and continuously improve model accuracy, performance, scalability, and cost optimization.
• Stay current with emerging Azure AI capabilities and recommend innovative approaches to improve business outcomes.

• Minimum 6+ years of software engineering, data engineering, or AI/ML development experience.
• Minimum 3+ years of hands‑on experience developing solutions on Microsoft Azure.
• Minimum 2+ years of hands‑on experience building Generative AI or Large Language Model (LLM) applications.
• Experience delivering enterprise cloud solutions within regulated industries such as banking or financial services is highly preferred.

• Strong experience with Azure OpenAI Service.
• Hands‑on experience with Azure AI Foundry (formerly Azure AI Studio).
• Experience with Azure Machine Learning and Azure Cognitive Services.
• Strong understanding of Retrieval Augmented Generation (RAG) architecture.
• Experience with vector databases such as Azure AI Search, Pinecone, Weaviate, or similar technologies.
• Strong Python programming skills.
• Experience with Lang Chain, Lang Graph, Semantic Kernel, or similar GenAI orchestration frameworks.
• Experience with PyTorch, Hugging Face Transformers, or similar ML frameworks.
• Experience building scalable data pipelines using Azure Data Factory, Synapse, Microsoft Fabric, Databricks, or Spark.
• Understanding of prompt engineering, model evaluation, fine tuning, embeddings, and LLM optimization.
• Experience with CI/CD pipelines and MLOps/LLMOps practices.
• Familiarity with Git, Azure Dev Ops, and container technologies (Docker/Kubernetes) is preferred.
• Strong understanding of AI governance, responsible AI, and model security

A reasonable estimate of the current range for this role in the U.S. is $69,700.00 – $.

• Competitive compensation
• Comprehensive insurance options
• Matching contributions through the 401(k) plan and the share purchase plan
• Paid time off for vacation, holidays, and sick time
• Paid parental leave
• Learning opportunities and tuition assistance
• Wellness and Well-being programs

• Agile
• Communication
• Data Engineering
• Data Engineering
• Generative AI
• Microsoft Azure AI Solution
• Python (Anaconda) AI/ML

Qualified applicants will receive consideration for employment without regard to their race, ethnicity, ancestry, color, sex, religion, creed, age, national origin, citizenship status, disability, pregnancy, medical condition, military and veteran status, marital status, sexual orientation or perceived sexual orientation, gender, gender identity, and gender expression, familial status or responsibilities, reproductive health decisions, political affiliation, genetic information, height, weight, or any other legally protected status or characteristics to the extent required by applicable federal, state, and/or local laws where we do business.