TechniPros

TechniPros

Data Scientist (Generative AI / Agentic AI)-Plano, TX/Oklahoma City, OK/Little Rock, AR/Springfield, MO/Denver, CO

Plano, Texas, USA · Senior · Contract

Sponsorship not specifiedDetected 133 days ago
Distributed SystemsCode ReviewGitVector DatabasesAWSGCPAzureCloud PlatformsCI/CDMachine LearningData EngineeringData ScienceLLMsRAGAgentic AIMLOpsAI OrchestrationAgileControlsAR/VRCollaboration

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odds of building a lasting career here

37Risky
Cap-exempt (no lottery)0
Sponsors this role80
Entry-level history0
PERM / green-card track0
Lottery odds40
Fits your clock70

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from this employer's Department of Labor filings

Third-party placement is common here

22% of this employer's visa filings place the worker at a client company rather than at the employer itself, across 2 clients. Your visa, salary band and layoff exposure would follow the employer of record, not the client.Most common: REMOTE HOME FOR ECOATM · USAA incFiles as an H-1B dependent employer.

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About the role

  • 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.

Responsibilities

  • 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.
  • 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.
  • Collaborate with data engineering teams to support scalable data pipelines and feature engineering processes.
  • This role requires collaboration with cross-functional AI teams to build scalable, production-grade intelligent systems.

Requirements

  • LLM-powered applications Strong knowledge of advanced prompting techniques:

Nice to have

  • 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: Email:

Benefits

  • Design, develop, and deploy advanced Machine Learning and Generative AI solutions.
  • Collaborate with Machine Learning Engineers, Data Scientists, and AI practitioners to deliver scalable AI solutions.

This listing is sourced directly from TechniPros's careers page and normalized into a canonical job model.