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.
. 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.
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
- Agile
- Communication
- Data Engineering
- Data Engineering
- Generative AI
- Microsoft Azure AI Solution
- Python (Anaconda) AI/ML
Together, as owners, lets turn meaningful insights into action.
Life at CGI is rooted in ownership, teamwork, respect and belonging. Here, youll 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. Thats why we call ourselves CGI Partners rather than employees. We benefit from our collective success and actively shape our companys strategy and direction.
Your work creates value. Youll 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.
Youll shape your career by joining a company built to grow and last. Youll 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 teamone of the largest IT and business consulting services firms in the world.
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.
CGI provides reasonable accommodations to qualified individuals with disabilities. If you need an accommodation to apply for a job in the U.S., please email the CGI U.S. Employment Compliance mailbox at [email protected]. You will need to reference the Position ID of the position in which you are interested. Your message will be routed to the appropriate recruiter who will assist you. Please note, this email address is only to be used for those individuals who need an accommodation to apply for a job. Emails for any other reason or those that do not include a Position ID will not be returned.
We make it easy to translate military experience and skills! Click here to be directed to our site that is dedicated to veterans and transitioning service members.
All CGI offers of employment in the U.S. are contingent upon the ability to successfully complete a background investigation. Background investigation components can vary dependent upon specific assignment and/or level of US government security clearance held. Dependent upon role and/or federal government security clearance requirements, and in accordance with applicable laws, some background investigations may include a credit check. CGI will consider for employment qualified applicants with arrests and conviction records in accordance with all local regulations and ordinances.
CGI will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with CGIs legal duty to furnish information.
