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Senior Lead, Full-stack Forward Deployed Engineer

Job in Frisco, Collin County, Texas, 75034, USA
Listing for: Hobbsnews
Full Time position
Listed on 2026-08-13
Job specializations:
  • Software Development
    Full Stack Developer, AI Engineer (Applied/Software)
Salary/Wage Range or Industry Benchmark: 150000 - 230000 USD Yearly USD 150000.00 230000.00 YEAR
Job Description & How to Apply Below

Who We Are

At Kyndryl, we design, build, manage and modernize the mission-critical technology systems that the world depends on every day. So why work at Kyndryl? We are always moving forward – always pushing ourselves to go further in our efforts to build a more equitable, inclusive world for our employees, our customers and our communities.

The Role

Kyndryl Consult is the fastest-growing business within the organization, serving as the front line of technical innovation and co-creation for enterprise clients globally. As part of our flagship Agentic AI Lab in Frisco, Texas, our engineering teams bridge technical rigor with real-world business impact, turning complex AI research into production-grade systems that solve enterprise challenges.

As a Senior Lead, Full-Stack Forward Deployed Engineer, you are the technical force that customers ask for by name. You will step into an ultra-fast, high-autonomy builder's paradise to turn ambitious architectural blueprints into resilient software platforms. In this senior lead role, you will take full ownership of end-to-end AI solution delivery, leading solution design, orchestrating multi-agent workflows, and guiding cross-functional teams to build and ship modern full-stack platforms.

Operating on a hybrid schedule from our physical Lab in Frisco, Texas, you will work in an iterative, rapid prototyping environment where we ship functional MVPs in weeks, not months. While your day-to-day focus is pure hands-on software development—making use of modern retrieval-augmented generation (RAG) models, managing LLM API performance, and launching production systems onto major cloud hyper-scalers—you will also embed directly with enterprise clients for high-value co-creation, taking accountability for real outcomes in production environments.

Key Responsibilities

Full-Stack Engineering & MVP Delivery

  • Architect, build, and scale modern frontend interfaces using React, Angular, or Vue designed to handle dynamic generative UI elements and real-time streaming outputs.

  • Develop robust backend APIs and data pipelines using Python, Node.js, or Type Script to connect enterprise systems with advanced language models.

  • Rapidly prototype and ship functional, production-ready MVPs within weeks in a highly iterative, agile lab environment.

  • Optimize application performance, ensuring fast database query execution, reliable data flows, and highly responsive rendering speeds.

Agentic AI & Knowledge Systems Architecture

  • Design, build, and deploy multi-agent orchestration frameworks using Lang Chain, Auto Gen, CrewAI, Lang Graph, or Semantic Kernel that communicate, self-correct, and execute complex business workflows.

  • Configure and optimize Retrieval-Augmented Generation (RAG) architectures, integrating both structured and unstructured data sources into unified vector engines.

  • Manage LLM integration challenges including API call optimization, token latencies, prompt routing, context window limitations, and system-level security.

Customer Engagement & Solution Integrity

  • Partner directly with enterprise customers to understand business challenges, translating complex requirements into high-quality, fit-for-purpose technical architectures.

  • Lead end-to-end technical delivery from scoping and prototyping to production deployment, prioritizing sustainable, long-term outcomes over temporary fixes.

  • Bridge engineering rigor with business value, communicating technical trade-offs and solution impact confidently to both technical teams and executive stakeholders.

Field Intelligence & Platform Contribution

  • Deploy and manage secure, containerized full-stack applications using Docker and Kubernetes across major cloud hyper-scalers including AWS, Azure, and GCP.

Systematically capture deployment learnings, document best practices, and share insights to continuously enhance Kyndryl's core AI platforms and frameworks.

Collaborate daily with local engineering leads to improve deployment pipelines and cultivate an open, knowledge-sharing engineering culture.

Kyndryl currently does not require employees to be fully vaccinated against COVID-19, however, if you are hired to work at a client, customer, or partner…

Position Requirements
10+ Years work experience
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