AI Field Deployment Engineer

Kyndryl; Dallas (TX); Hybrid; USD 73,000 - 140,000; Full time

Benefits offered by this job

Bonus program

Benefits package

Job summary

Kyndryl is seeking a Forward Deployed Engineer in the Dallas–Fort Worth metroplex with a hybrid schedule. You will deliver AI-enabled solutions embedded with customer teams, focusing on production deployments and measurable outcomes.

Strong Python and AI framework experience are required, with cloud and data tooling expertise guiding the work. The role emphasizes real-world AI deployment over theoretical work, with opportunities to influence platforms and processes while collaborating with

Qualifications

• Proficiency in programming with Python or similar language and experience with AI/ML frameworks.
• Solid grasp of software delivery lifecycle, version control, and data engineering tools.
• Experience with cloud AI platforms and distributed computing architectures.

Responsibilities

• Partner with customers to understand business challenges and translate them into high-quality technical solutions.
• Build and iterate AI solutions tailored to customer needs using agentic AI frameworks.
• Own delivery end-to-end from scoping to production and ensure production-ready implementations.
• Troubleshoot and optimize system performance, scalability, and reliability.
• Capture deployment learnings and share insights to improve platforms and frameworks.
• Continuously learn new technologies and adapt to changing customer requirements.
• Contribute to evolution of AI platforms through feedback and collaboration with product teams.

Skills

Python

C#

Node.js

TypeScript

AI/ML frameworks

Git & GitHub

Pandas

Spark

Cloud platforms

Distributed systems

Stakeholder communication

Education

Degree in Computer Science / Engineering / Data Science

Tools

TensorFlow

PyTorch

Hugging Face

LangGraph

Semantic Kernel

Agent Framework

AutoGen

CrewAI

Job description

Kyndryl is seeking a Forward Deployed Engineer in the Dallas–Fort Worth metroplex with a hybrid schedule. You will deliver AI-enabled solutions embedded with customer teams, focusing on production deployments and measurable outcomes.

Strong Python and AI framework experience are required, with cloud and data tooling expertise guiding the work. The role emphasizes real-world AI deployment over theoretical work, with opportunities to influence platforms and processes while collaborating with