Data Scientist (Generative AI Agentic AI)

Job Title: Data Scientist (Generative AI / Agentic AI)
Location: Plano TX/Oklahoma City OK/Little Rock AR/Springfield MO/Denver CO
Can do Only W2 No C2C

Job Summary:

We are seeking an experienced Data Scientist with expertise in Generative AI and Agentic AI to join a high-impact initiative based in Plano TX. The ideal candidate will possess strong hands-on experience as an Individual Contributor in Machine Learning Engineering and have deep knowledge of modern AI architectures LLM-powered applications MLOps and cloud platforms. This role requires collaboration with cross-functional AI teams to build scalable production-grade intelligent systems.

Key Responsibilities:

• Design develop and deploy advanced Machine Learning and Generative AI solutions.
• Build and support Agentic AI architectures including multi-agent systems and agent-based workflows.
• Develop and optimize Retrieval-Augmented Generation (RAG) pipelines and LLM-powered applications.
• Implement Model Context Protocol (MCP) and context engineering techniques to improve AI system performance.
• Design and orchestrate AI workflows using modern AI orchestration frameworks.
• Apply advanced prompting methodologies including Chain-of-Thought (CoT) Tree-of-Thought (ToT) and Graph-of-Thought (GoT) reasoning frameworks.
• Collaborate with Machine Learning Engineers Data Scientists and AI practitioners to deliver scalable AI solutions.
• Build and maintain MLOps pipelines supporting model lifecycle management CI/CD monitoring and automation.
• Support software development best practices including code reviews version control and collaborative development workflows.
• Work with cloud-native AI and data platforms to deploy and manage production workloads.
• Participate in Agile/Scrum ceremonies and contribute to end-to-end SDLC activities.
• Collaborate with data engineering teams to support scalable data pipelines and feature engineering processes.

Required Skills:

• 10 years of hands-on experience in Machine Learning Engineering as an Individual Contributor
• Strong expertise in Generative AI
• Deep understanding of Agentic AI Architectures
• Experience with:
• Agent-Based Workflows
• Multi-Agent Systems
• AI Orchestration
• Hands-on experience with:
• Model Context Protocol (MCP)
• Retrieval-Augmented Generation (RAG)
• Context Engineering
• LLM-powered applications
• Strong knowledge of advanced prompting techniques:
• Chain-of-Thought (CoT)
• Tree-of-Thought (ToT)
• Graph-of-Thought (GoT)
• Expertise in MLOps
• Experience with:
• Model Lifecycle Management
• CI/CD Pipelines
• Model Monitoring
• Automation
• Strong experience with cloud platforms preferably:
• Google Cloud Platform (GCP)
• Exposure to:
• Microsoft Azure
• Amazon Web Services (AWS)
• Proficiency with:
• GitHub
• Version Control Systems
• Code Review Processes
• Collaborative Software Development Workflows
• Strong understanding of:
• SDLC
• Agile/Scrum methodologies
• Data Engineering concepts

Preferred Qualifications:

• Experience building enterprise-scale LLM and GenAI solutions.
• Experience with AI agent frameworks and orchestration platforms.
• Experience designing scalable production-grade AI systems.
• Exposure to vector databases and semantic search technologies.
• Experience working with cloud-native AI services.
• Knowledge of responsible AI model governance and AI security practices.
• Familiarity with distributed systems and microservices architectures.
• Experience supporting large-scale AI initiatives in enterprise environments.

Best Regards:

Lucy Rose
Phone: 1-
Email: