Senior Azure Generative AI Engineer - Local to

CGI Technologies and Solutions, Inc.
Dallas, TX, United States
about 1 month ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
2 years minimum
Compensation
$69,700.0
Working hours
Regular working hours
Job source

Tech stack

Agile Methodology Artificial Intelligence Software Applications Microsoft Azure Information Engineering Python (Programming Language) Machine Learning Performance Tuning Tensorflow Azure Machine Learning Search Technologies Software Engineering
+22 more
Anaconda Enterprise Software Applications Data Ingestion Azure Data Factory Pytorch Large Language Models Prompt Engineering Apache Spark Model Validation Generative AI Git Microsoft Fabric Containerization AI Platforms Kubernetes HuggingFace Machine Learning Operations Restful APIs Azure Synapse Analytics Data Pipelines Docker Databricks

Job 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.

Requirements

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, + Agile

  • Communication

  • Data Engineering

  • Data Engineering

  • Generative AI

  • Microsoft Azure AI Solution

  • Python (Anaconda) AI/ML

Benefits & conditions

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

About the company

Life at CGI is rooted in ownership, teamwork, respect and belonging. Here, you’ll reach your full potential because…

You are invited to be an owner from day 1 as we work together to bring our Dream to life. That’s why we call ourselves CGI Partners rather than employees. We benefit from our collective success and actively shape our company’s strategy and direction.

Your work creates value. You’ll develop innovative solutions and build relationships with teammates and clients while accessing global capabilities to scale your ideas, embrace new opportunities, and benefit from expansive industry and technology expertise.

You’ll shape your career by joining a company built to grow and last. You’ll be supported by leaders who care about your health and well-being and provide you with opportunities to deepen your skills and broaden your horizons.

Come join our team-one of the largest IT and business consulting services firms in the world.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.juju.com

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