Senior Azure Generative AI Engineer - Local to Dallas, TX

Category: Software Development/ Engineering

Main location: United States, Texas, Dallas

Position ID:J0726-0299

Employment Type: Full Time

Position Description:

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

We are seeking a Senior Azure Generative AI Engineer to design, develop, and deploy enterprise grade Generative AI solutions using Microsoft Azure. This role will focus on building scalable AI applications leveraging Azure OpenAI Service, Azure AI Foundry, Azure Machine Learning, Azure Cognitive Services, and modern data engineering practices. The successful candidate will work closely with business stakeholders, architects, and engineering teams to deliver AI powered solutions for enterprise and banking use cases.

Your future duties and responsibilities:

. 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.

Required qualifications to be successful in this role:

. 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.

Technical Skills
. 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 LangChain, LangGraph, 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 DevOps, and container technologies (Docker/Kubernetes) is preferred.
. Strong understanding of AI governance, responsible AI, and model security

CGI is required by law in some jurisdictions to include a reasonable estimate of the compensation range for this role. The determination of this range includes various factors not limited to skill set, level, experience, relevant training, and licensure and certifications. To support the ability to reward for merit based performance, CGI typically does not hire individuals at or near the top of the range for their role. Compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range for this role in the U.S. is $69,700.00 $154,300.00.

CGI's benefits are offered to eligible professionals on their first day of employment to include:
. 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

#LI-GA1

Skills:

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