Forward Deployment Engineer

Tech Asst; Dallas (TX); Hybrid; USD 130,000 - 170,000; Full time

Job summary

Tech Asst in Dallas, TX, is seeking an experienced Forward Deployment Engineer to design, deploy and integrate technical solutions across enterprise environments. The role emphasizes Python development, cloud platforms, AI/ML support, and enterprise integrations.

You will collaborate with engineering, product, and business teams to build CI/CD pipelines, manage containerized deployments, and ensure reliable operation of data and AI systems in hybrid cloud settings.

Qualifications

• Extensive Python/SQL experience with API development.
• Experience building enterprise integrations and AI/ML support.
• Strong cloud platform experience across AWS, Azure, or GCP.
• Proven DevOps and CI/CD capability with containerized deployments.

Responsibilities

• Develop and deploy software solutions using Python.
• Build and integrate APIs and enterprise applications.
• Work with AWS, Azure, and GCP cloud platforms.
• Support AI/ML systems and prompt engineering initiatives.
• Develop and maintain CI/CD pipelines.
• Work with containerized applications and deployment environments.
• Support data engineering and enterprise integration projects.
• Troubleshoot technical and production issues.
• Collaborate with engineering, product, and business teams.

Skills

Python

SQL

API development

Enterprise integration

AI/ML systems

Prompt engineering

DevOps

CI/CD

Containerization

Data engineering

Troubleshooting

Communication

Tools

AWS

Azure

GCP

Job description

Location: Dallas, TX (Hybrid)

Experience: 8+ years

Job Type: W2/C2C

Role Overview

We are looking for a Forward Deployment Engineer with strong experience in software engineering, cloud platforms, AI/ML, and enterprise integrations. The ideal candidate will work on deploying and integrating technical solutions across enterprise environments.

Key Responsibilities

• Develop and deploy software solutions using Python.
• Build and integrate APIs and enterprise applications.
• Work with AWS, Azure, and GCP cloud platforms.
• Support AI/ML systems and prompt engineering initiatives.
• Develop and maintain CI/CD pipelines.
• Work with containerized applications and deployment environments.
• Support data engineering and enterprise integration projects.
• Troubleshoot technical and production issues.
• Collaborate with engineering, product, and business teams.

Required Skills

• Strong Python and SQL experience.
• API development and enterprise integration experience.
• Experience with AWS, Azure, or GCP.
• AI/ML systems and prompt engineering.
• DevOps and CI/CD.
• Containerization.
• Data engineering.
• Enterprise integration platforms.
• Strong troubleshooting and communication skills.