AI Technical Project Manager: Lead AI Delivery & Teams

Ethereum Technologies; Hartford (CT); On-site; USD 120,000 - 150,000; Full time

Job summary

Ethereum Technologies is seeking 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. The ideal candidate will have strong technical knowledge and proven experience directing cross-functional teams to successful deployments.

Responsibilities include planning timelines and budgets, coordinating AI developers and cloud engineers, and ensuring security, performance, and scalability.

Qualifications

• 8–12 years of IT experience with technical project management.
• Experience delivering AI/ML or Generative AI projects preferred.
• PMP/Agile certifications are an advantage.
• Experience moving AI applications from proof of concept to production.

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

Conversational AI

AWS Bedrock

Python

LangChain

LangGraph

LLMs

RAG

Prompt engineering

CI/CD

Leadership

Stakeholder mgmt

Education

Bachelors or Master's in CS/IT

Job description

Ethereum Technologies is seeking 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. The ideal candidate will have strong technical knowledge and proven experience directing cross-functional teams to successful deployments.

Responsibilities include planning timelines and budgets, coordinating AI developers and cloud engineers, and ensuring security, performance, and scalability.