AI Technical PM: Lead Agentic AI & LLM Deployments

Robotic Technologies Automation

Houston (TX)

On-site

USD 150,000 - 190,000

Full time

3 hours ago
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Job summary

Robotic Technologies Automation in Houston, TX seeks an AI Technical Project Manager to lead the development and delivery of AI solutions using Agentic AI, AWS Bedrock, Python, LangChain, LangGraph, and Conversational AI.

You will manage AI projects from requirements to production, plan timelines and budgets, guide AI developers and cloud engineers, monitor risks and quality, and report progress to management and stakeholders.

Qualifications

  • Bachelor's or Master's degree in Computer Science, IT, or a related field.
  • 8–12 years of overall IT experience, including technical project management.
  • Experience delivering AI/ML or Generative AI projects is preferred.

Responsibilities

  • Manage AI projects from requirement gathering 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
Cross-functional leadership
Stakeholder management

Education

Bachelor's or Master's in Computer Science/IT
Certifications: AWS, PMP/Agile

Tools

AWS Bedrock
Python
LangChain
LangGraph
CI/CD

Job description

Robotic Technologies Automation in Houston, TX seeks an AI Technical Project Manager to lead the development and delivery of AI solutions using Agentic AI, AWS Bedrock, Python, LangChain, LangGraph, and Conversational AI.

You will manage AI projects from requirements to production, plan timelines and budgets, guide AI developers and cloud engineers, monitor risks and quality, and report progress to management and stakeholders.

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