Senior AI Delivery Engineer — Client-Facing & End-to-End

Hobbsnews; West Palm Beach, Northern (FL, KY); Hybrid; USD 115,000 - 219,000; Full time

Benefits offered by this job

Discretionary annual bonus

Comprehensive benefits package

Job summary

Kyndryl is seeking a Forward Deployed Engineer to own end-to-end delivery for complex AI engagements, translating business challenges into technical solutions and leading deployment with customers.

You will work autonomously, bring deep expertise in AI/ML and software engineering, and accelerate delivery using AI-assisted development tools across the lifecycle to deliver measurable business impact on client environments.

Qualifications

• Proficient in Python and modern AI/ML frameworks.
• Experience with Git version control and data engineering tools.
• Experience with cloud AI platforms and distributed systems.

Responsibilities

• Customer Engagement & Solution Integrity: Partner with customers to translate business challenges into technical solutions.
• Rapid Prototyping: Build and iterate AI solutions tailored to customer needs.
• Ownership, Deployment & Partnership: Own end-to-end delivery from scoping to production.
• Optimization: Troubleshoot and enhance system performance, scalability, and reliability.
• Field Intelligence: Capture deployment learnings and share insights to improve platforms.
• Continuous Learning: Adapt to new technologies and evolving requirements.
• Platform Contribution: Contribute to evolution of AI platforms through feedback and collaboration.

Skills

Python

C# / Node.js

TypeScript

TensorFlow / PyTorch

Git & GitHub

Pandas

Spark

Cloud platforms

Education

Degree in CS / Informatics / Data Science / Engineering

Tools

Hugging Face

LangGraph

Semantic Kernel

Agent Framework

AutoGen

CrewAI

Job description

Kyndryl is seeking a Forward Deployed Engineer to own end-to-end delivery for complex AI engagements, translating business challenges into technical solutions and leading deployment with customers.

You will work autonomously, bring deep expertise in AI/ML and software engineering, and accelerate delivery using AI-assisted development tools across the lifecycle to deliver measurable business impact on client environments.