Data Scientist - Artificial Intelligence
| Estimated Pay info | Based on similar jobs in your market$37 per hour |
|---|---|
| Hours | Full-time |
| Location | Houston, Texas |
About this job
Job Description
Overview
CTG is seeking a Data Scientist - Artificial Intelligence for our client.
Location: Houston, TX
Duration: 11 months
Overview:
Join a cutting-edge AI team to design, build, and deploy LLM and RAG-based solutions for enterprise-scale data. Lead AI architecture, implement secure data integration, and deliver production-ready solutions across dev/test/staging/prod environments.
Key Responsibilities:
Define LLM, RAG, and multi-agent reference architectures.
Develop automated solutions using Action Agents for structured and unstructured data.
Ensure secure integration of heterogeneous data sources with compliance and auditability.
Build production-ready AI pipelines with CI/CD, IaC, observability, rollbacks, and SLOs.
Rapidly learn client tools, frameworks, and processes to optimize solution design.
Create solution design documents and POCs to validate feasibility.
Partner with stakeholders to prioritize use cases and mentor engineering teams.
Required Skills & Experience:
Strong expertise in AI/ML, natural language processing, and LLMs.
Hands-on experience with RAG workflows, multi-agent systems, and enterprise AI solutions.
Proven track record in production deployments, CI/CD, and Infrastructure as Code.
Experience integrating structured and unstructured data securely.
Strong problem-solving, documentation, and team mentorship abilities.
Education:
Bachelor’s degree in Computer Science, Data Science, AI, or related field; Master’s preferred.
Excellent verbal and written English communication skills and the ability to interact professionally with a diverse group are required.
CTG does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services for this role.
To Apply:
To be considered, please apply directly to this requisition using the link provided. For additional information, please contact JoAnn Abramo at JoAnn.Abramo@ctg.com. Kindly forward this to any other interested parties. Thank you!