Forward-Deployed AI Engineer for Enterprise Automation

METRIX IT SOLUTIONS INC; New York (NY); On-site; USD 140,000 - 200,000; Full time

Job summary

METRIX IT SOLUTIONS INC is seeking a Forward Deployed Engineer to design, deploy, and optimize AI-powered business solutions using Agentic AI, multi-agent systems, Java and Python.

The role involves close collaboration with customers to map processes, identify automation opportunities, and implement scalable AT workflows with RAG and agent orchestration frameworks, ensuring strong governance and observability.

Qualifications

• Strong programming experience in Python and Java.
• Hands-on experience with Agentic AI / Multi-Agent Systems.
• Experience with agent orchestration frameworks (LangGraph, CrewAl or similar).
• Experience building autonomous workflows and AT agents with reliable API integrations.
• Knowledge of Retrieval-Augmented Generation (RAG) and retrieval engineering.
• Experience with AI observability, security guardrails, governance controls.
• Ability to translate business processes into AI-driven solutions.
• Experience conducting workshops with business and technical stakeholders.

Responsibilities

• Design and implement Agentic AT and multi-agent workflows for enterprise customers.
• Build scalable AI solutions using RAG, LLMs, and orchestration frameworks.
• Collaborate with customer stakeholders to drive adoption and business value.
• Establish monitoring, security, and governance controls for AI applications.
• Continuously refine AI agents and workflows based on feedback and performance metrics.

Skills

Python

Java

Agentic AI

Multi-Agent Systems

Agent orchestration frameworks

RAG

LLMs

APIs integration

AI observability

Workshops with stakeholders

Tools

LangGraph

CrewAl

Job description

METRIX IT SOLUTIONS INC is seeking a Forward Deployed Engineer to design, deploy, and optimize AI-powered business solutions using Agentic AI, multi-agent systems, Java and Python.

The role involves close collaboration with customers to map processes, identify automation opportunities, and implement scalable AT workflows with RAG and agent orchestration frameworks, ensuring strong governance and observability.