Agentic AI Lead - Architecting Goal-Driven Agents

InfoVision Inc.; Dallas (TX); Sur place; USD 180 000 - 260 000; Plein temps

Résumé du poste

InfoVision Inc. is seeking an Agentic AI Lead to bridge AI research with practical business applications. You will create, test, and deploy intelligent agents that understand goals, break them into actionable steps, reason, and learn from customer feedback.

The role blends deep LLM knowledge with software engineering, systems architecture, and hands-on coding. Responsibilities include collaborating with stakeholders, designing agentic workflows, and delivering production-grade solutions.

Qualifications

• 10+ years IT experience with focus on Data/AI.
• 4+ years AI/ML engineering, 2+ years in agentic GenAI apps.
• Telecom CX workflows experience preferred.

Responsabilités

• Collaborate with the team to rapidly gather requirements from customer stakeholders.
• Translate requirements into concrete solution designs and implement them.
• Identify workflows within customer service that create superior customer experience.
• Translate workflows into Agentic Workflows after SME discussions.
• Manage project activities to ensure on-time, high-quality deliverables and customer satisfaction.
• Bring AI best practices to drive program success.
• Gather stakeholder feedback and continuously improve the solution.

Connaissances

Python

Prompt Engineering

LangChain

LangGraph

LLMs

Agent orchestration

Inter-agent communication

Conflict resolution

Agentic AI

BigQuery

GCP

Data integration

Secure integration

Formation

B.S. or M.S. in CS/AI

10+ years IT experience

4+ years AI/ML engineering

2+ years agentic AI

Telecom CX workflows

Outils

MCP servers

Redis

Context Engineering

A2A protocol

Interoperable agent-to-agent

Google Cloud Platform

Description du poste

InfoVision Inc. is seeking an Agentic AI Lead to bridge AI research with practical business applications. You will create, test, and deploy intelligent agents that understand goals, break them into actionable steps, reason, and learn from customer feedback.

The role blends deep LLM knowledge with software engineering, systems architecture, and hands-on coding. Responsibilities include collaborating with stakeholders, designing agentic workflows, and delivering production-grade solutions.