AI Solutions Project Manager: Agentic AI & LLM Lead

Machine Learning Technologies, LLC

Houston (TX)

On-site

USD 130,000 - 180,000

Full time

6 hours ago
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Job summary

Machine Learning Technologies, LLC is seeking an AI Technical Project Manager to lead cross‑functional teams delivering AI solutions. You will drive projects from concept to production, coordinate with data scientists, cloud engineers, and software engineers, and ensure timely, secure, scalable deployments.

Responsibilities include planning timelines and budgets, managing risks, and providing regular updates to stakeholders.

Qualifications

  • 8–12 years IT experience with technical project management.
  • Experience delivering AI/ML projects.
  • AWS and PMP/Agile certifications are an advantage.
  • Experience moving AI applications from proof of concept to production.
  • Knowledge of enterprise AI architecture, security, governance.

Responsibilities

  • Manage AI projects from requirements to production deployment.
  • Plan project timelines, resources, deliverables, and budgets.
  • Lead AI developers, cloud engineers, and other technical teams.
  • Oversee the development of AI agents and Conversational AI applications.
  • Coordinate the development of LLM-based applications and RAG solutions.
  • Monitor project progress, risks, issues, and delivery quality.
  • Work closely with business stakeholders and technical teams.
  • Ensure AI solutions meet security, performance, scalability, and quality requirements.
  • Provide regular project updates to management and stakeholders.

Skills

Agile/Scrum
Agentic AI
Generative AI
Conversational AI
Leadership
Communication
Problem Solving

Education

Bachelor's or Master's in Computer Science/IT

Tools

AWS Bedrock
LangChain
LangGraph
Python
CI/CD

Job description

Machine Learning Technologies, LLC is seeking an AI Technical Project Manager to lead cross‑functional teams delivering AI solutions. You will drive projects from concept to production, coordinate with data scientists, cloud engineers, and software engineers, and ensure timely, secure, scalable deployments.

Responsibilities include planning timelines and budgets, managing risks, and providing regular updates to stakeholders.

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