Senior Agentic AI Engineer: Lead Multi-Agent Solutions

PowerToFly

Arizona

On-site

USD 122,000 - 241,000

Full time

10 days ago
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Job summary

PowerToFly is seeking an AI & Data Engineer III on the AI & Data team to drive technology-focused client delivery across complex engagements. You will manage day-to-day interactions with executives and lead small teams to design and implement AI/ML solutions, including agentic systems, AI orchestration, and tool integration.

Responsibilities include planning scope and schedule, tracking progress, managing changes to scope and costs, and maintaining stakeholder communications while traveling up

Qualifications

  • 4+ years in delivering AI/ML solutions with a focus on Generative AI and multi-agent systems.
  • 2+ years of hands-on Python development for AI/ML projects.
  • 1+ years building agentic AI systems including orchestration and tool integration.
  • 1+ years leading AI delivery workstreams and translating business problems into AI solutions.
  • Bachelors or Masters in CS/Engineering/Data Science/AI required.
  • Ability to travel up to 50% on average for client engagements.
  • Limited immigration sponsorship may be available.

Responsibilities

  • Drive technology-focused client delivery across complex AI engagements.
  • Lead day-to-day interactions with executives, stakeholders, and sponsors.
  • Design and implement AI/ML solutions including agentive workflows and tool integration.
  • Plan scope, schedule, and allocate resources for tasks and deliverables.
  • Monitor progress, manage risks, and handle scope or cost changes.

Skills

Python
Generative AI
Multi-agent systems
Project leadership

Education

Bachelor's or Master's in CS/Engineering/Data Science/AI

Tools

LangChain
Azure AI Foundry
OpenAI Service
Semantic Kernel
Vertex AI

Job description

PowerToFly is seeking an AI & Data Engineer III on the AI & Data team to drive technology-focused client delivery across complex engagements. You will manage day-to-day interactions with executives and lead small teams to design and implement AI/ML solutions, including agentic systems, AI orchestration, and tool integration.

Responsibilities include planning scope and schedule, tracking progress, managing changes to scope and costs, and maintaining stakeholder communications while traveling up

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