CGI Technologies and Solutions, Inc. logo

Generative AI Data Engineer *

CGI Technologies and Solutions, Inc.

Lafayette, LAJob$63–87K/yrSeen todaySeen in employer's feed today

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At a glance

Compensation
$63–87K/yr
Location
Lafayette, LA
Work Authorization
Not specified

Olive lists jobs from US employers, including remote roles you can work from the United States.

Requirements

Credentials this posting asks for.

Bachelor's degree

Job overview

CGI seeks a Generative AI Data Engineer to build scalable data pipelines, cloud-based data solutions, and enterprise Generative AI applications. The role develops ETL/ELT processes, prepares data for analytics and AI use cases, and integrates LLMs through APIs and managed platforms. It also supports RAG applications and collaborates with business and technical teams to deliver reliable solutions. This is an onsite position at one of the listed locations.

Skills & qualifications

RequiredNice to have

Skills

PythonAdvanced SQLETL/ELT PipelinesRelational DatabasesData ModelingStored ProceduresQuery OptimizationAWS Data ServicesAWS LambdaAmazon RedshiftApache IcebergAmazon GlacierGenerative AILarge Language ModelsPrompt EngineeringLLM IntegrationAmazon BedrockAzure OpenAIOpenAI APIsRetrieval-Augmented GenerationEmbeddingsVector DatabasesSemantic SearchData MappingData Quality ValidationAutomated TestingData Integrity ControlsGenAI EvaluationAI SecurityData PrivacyData GovernanceResponsible AIJIRATechnical Documentation

Qualifications

3+ Years Related ExperienceBachelor's in Related Field

Benefits

401(k) Match
Paid Time Off
Parental Leave
Tuition Assistance

Full job description

Generative AI Data Engineer *

Position Description

CGI is seeking a Generative AI Data Engineer to support the development of scalable data pipelines, cloud-based data solutions, and enterprise Generative AI applications. This is an onsite position at either the RTC or MTC location.

This position is required in one of the following locations: Lafayette, LA, Knoxville, TN, Birmingham, AL, Columbia, SC

Other Information:

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 $62,900.00 $86,500.00.

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.

Your future duties and responsibilities

The role will focus on building ETL/ELT processes using Python, SQL, and AWS data services, including AWS Lambda, Amazon Redshift, Apache Iceberg, and Amazon Glacier. The engineer will prepare structured and unstructured data for analytics, reporting, machine learning, and Generative AI use cases.

Responsibilities will also include integrating LLMs through APIs and managed platforms such as Amazon Bedrock, developing prompt engineering solutions, and supporting Retrieval Augmented Generation applications. The successful candidate will work with embeddings, vector databases, semantic search, and AI quality evaluation techniques such as groundedness, relevance, accuracy, and hallucination detection.

This position will collaborate with business stakeholders, data analysts, software developers, and AI/ML teams to translate business needs into reliable technical solutions. The engineer will also support data validation, testing, documentation, security, privacy, governance, and responsible AI practices.

Required qualifications to be successful in this role

Required qualifications to be successful in this role:

. 3–5 years of experience in data engineering, software development, data analytics, or a related technical field

. Strong hands-on experience with Python and advanced SQL

. Experience developing and optimizing ETL/ELT data pipelines

. Knowledge of relational databases, data modeling, stored procedures, and query performance optimization

. Hands on experience with AWS data and analytics services, particularly AWS Lambda, Amazon Redshift, Apache Iceberg, and Amazon Glacier

. Working knowledge of Generative AI, LLMs, and prompt engineering

. Experience integrating LLMs through APIs or platforms such as Amazon Bedrock, Azure OpenAI, or OpenAI APIs

. Understanding of RAG, embeddings, vector databases, and semantic search

. Experience with data mapping, data quality validation, automated testing, and data integrity controls

. Knowledge of GenAI evaluation methods, including relevance, groundedness, accuracy, and hallucination detection

. Understanding of AI security, data privacy, governance, and responsible AI principles

. Experience using JIRA and maintaining technical documentation

Educational Requirements:

Bachelor's degree in computer science, Information Systems, Data Engineering, or a related field.

Together, as owners, let’s turn meaningful insights into action.

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.

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 (https://cgi-veterans.jobs/) 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 CGI’s legal duty to furnish information.

How this job compares

Set against the 5,779 open Data Engineer jobs on Olive Jobs, counted November 3, 2026.

Pay
  • This posting$63–87K/yr
  • Louisiana median$115–203K/yr40 salary ranges
  • US median$124–208K/yr4,458 salary ranges

This range's midpoint, $75K, is 52% below the Louisiana median midpoint ($156K) — in the lowest quarter of Data Engineer salary ranges in Louisiana.

Openings
Olive Jobs lists 51 open Data Engineer jobs in Louisiana and 5,779 across the US. 9% of them nationwide are listed as remote or flexible.
Hiring the most in Louisiana
Experience
This posting asks for at least 3 years of experience; Data Engineer postings that state a minimum ask for 5 years at the median (5,017 postings).
Education
This posting asks for a bachelor's degree; 2,220 of the 5,779 open Data Engineer jobs (38%) ask for a bachelor's degree or higher.

Counted across the open, public US postings on Olive Jobs on November 3, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.

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