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AI Platform Engineer

Techgroup America Inc.United States🇺🇸United StatesPosted 25 Jul 2026

Why This Role Stands Out

You can drive innovation in Agentic AI by leading customer engagements and architecting scalable deployments on leading cloud platforms. This hybrid role is perfect for experienced engineers passionate about building cutting-edge AI solutions and mentoring teams. Embrace this opportunity to shape the future of AI with a reputable company.

Quick Overview

Work Type
Hybrid
Level
Mid Senior

Job Description

Locations:- Chicago, IL, New York, NY and Dallas, TX

We are seeking a Forward Deployed Engineer (Agentic AI) to partner with enterprise customers in designing, deploying, and optimizing AI-powered solutions. In this customer-facing role, you will lead Proof of Concepts (POCs), architect scalable AI deployments, and collaborate with Product and Engineering teams to deliver production-ready Agentic AI solutions.

Responsibilities

  • Lead customer engagements, technical workshops, and AI POCs.
  • Design and deploy Agentic AI solutions using LLMs and cloud platforms.
  • Architect scalable AI deployments on AWS, Azure, or Google Cloud Platform.
  • Build and optimize AI/ML platforms using Docker, Kubernetes, and MLOps best practices.
  • Collaborate with Product, Engineering, and Customer Success teams to ensure successful implementations.
  • Mentor technical teams and provide architecture guidance.

Required Qualifications

  • 5+ years of experience in a customer-facing technical role such as Forward Deployed Engineer, Solutions Architect, AI Engineer, or ML Engineer.
  • Experience with Generative AI, LLMs, and Agentic AI.
  • Strong knowledge of AWS, Azure, or Google Cloud Platform, Docker, Kubernetes, and CI/CD.
  • Experience with AI/ML deployment, APIs, and cloud-native architectures.
  • Excellent communication, problem-solving, and customer engagement skills.

Preferred Skills

  • LangChain, LangGraph, CrewAI, AutoGen, LlamaIndex, RAG, Vector Databases.
  • MLOps, Infrastructure as Code (Terraform), Python, FastAPI, and AI observability tools.

 

Skills

Docker
FastAPI
AWS
MLOps
Azure
Generative AI
Google Cloud
Kubernetes
Python
Terraform

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