AI Engineer

CGI

• $100K — $122K *
Enterprise Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 5-7 years of experience in AI Engineering focusing on Agentic AI and LLMs.
  • Strong proficiency in data engineering and ETL/ELT processes.
  • Expertise in Databricks and Azure Cloud Services.
  • Familiarity with Python, SQL, and REST APIs.
  • Experience with prompt engineering strategies to validate AI outputs.

Responsibilities

  • Design and implement AI assistants for complex reasoning tasks.
  • Translate business processes into AI workflows.
  • Develop architectures coordinating data retrieval and decision making.
  • Optimize multi-agent orchestration patterns.
  • Build Retrieval Augmented Generation solutions utilizing enterprise data.
  • Validate model outputs for accuracy and consistency.
  • Measure and evaluate the performance of AI models across various use cases.

Benefits

  • Competitive compensation with profit sharing program.
  • Comprehensive medical, dental, and vision coverage.
  • Retirement plan with matching contributions.
  • Generous vacation leave policy based on experience and tenure.
  • Paid parental leave up to 70 business days based on circumstances.
  • Tuition assistance and learning opportunities.
  • Wellness programs to support employee health.
Full Job Description
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AI Engineer

Category: Analytics and Emerging Digital Technologies

Main location: United States, Texas, Houston

Position ID:J0926-2254

Employment Type: Full Time

Position Description:

Job Description
We are looking for a skilled AI Engineer with deep expertise in Agentic AI, Large Language Models (LLMs), and Databricks to help build next generation AI solutions that can transform complex business processes into AI executable workflows. The ideal candidate will have strong experience in designing and implementing Agentic AI solutions using enterprise AI platforms and modern LLM frameworks, while also possessing solid data engineering capabilities to build and support the underlying data ecosystem.
This role needs to be performed onsite at our client location in Houston, TX.
Key Responsibilities

. Design and implement robust AI assistants capable of performing multi step reasoning and decision making.
. Translate complex business requirements and processes into AI executable workflows.
. Develop agentic architectures that coordinate data retrieval, tool usage, reasoning, and response generation.
. Design and optimize multi agent and tool based orchestration patterns.
. Build Retrieval Augmented Generation (RAG) solutions leveraging structured and unstructured enterprise data.
. Validate LLM output using prompt engineering strategies to improve accuracy, consistency, and explainability.
. Integrate LLM capabilities with enterprise data sources and business processes.
. Evaluate model performance, reliability, and scalability across business use cases.
. Measure response quality, hallucination rates, retrieval accuracy, and business effectiveness.
. Develop ETL/ELT pipelines for data ingestion, transformation, and curation.
. Build and maintain scalable data pipelines and integrate data from multiple system of records.
. Leverage Delta Lake architecture to support high quality data products.
. Ensure data lineage, traceability, and compliance requirements are met.

Technical Skills

. Python
. SQL
. Databricks
. Azure Cloud Services
. REST APIs
. Git / CI/CD

Preferred Qualifications

. Experience building AI assistants and decision support systems.
. Knowledge of MLOps, LLMOps, and AI governance practices.
. Experience in implementing production grade AI solutions using cloud environments.
. Databricks experience is crucial
. Good to have Microsoft AI Foundry experience

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 $100,800.00 $122,574.00.
CGI's benefits are offered to eligible professionals on their first day of employment to include:

. Competitive compensation including profit participation program
. Comprehensive medical, dental, and vision benefits
. Basic life and accidental death & dismemberment insurance
. Matching contributions through 401(k) plan, and CGI share purchase plan
. Flexibility and paid accrued vacation leave, ranging from 10 to 20 days per year, based on job level, years of relevant prior experience, and years of service
. 10 paid holidays per year
. At least 80 consecutive hours of paid sick/safe leave (except where applicable state/local law requires more)
. Paid parental leave, ranging from 20 to 70 consecutive business days based on circumstances of leave and applicable laws
. Bereavement leave, ranging from 1 to 7 days per year based on relationship.
. Paid jury duty leave, up to time summoned
. Learning opportunities and tuition assistance
. Wellness and Well being programs
#DICE
#LI-SG2
For more detailed information about our benefits offerings visit Benefits | CGI Careers

Please note that the benefits listed above are subject to change based on the specific terms and conditions of the contract being supported.
CGI Federal anticipates accepting applications for this position through 2026 10 26.

Skills:
  • Agentic AI
  • Databricks
  • Large Language Model (LLM)


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