Senior Lead, Full-stack Forward Deployed Engineer

Senior Lead, Full-Stack Forward Deployed Engineer At Kyndryl, we design, build, manage and modernize the mission-critical technology systems that the world depends on every day. 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. 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 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 in Frisco, TX. 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 TypeScript to connect enterprise systems with advanced language models. Rapidly prototype and ship functional, production-ready MVPs within weeks in a highly iterative, agile 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 LangChain, AutoGen, CrewAI, LangGraph, 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 location, you may be required to show proof of vaccination to align with their respective COVID-19 vaccination policies. Those who believe they are eligible may apply for a medical or religious accommodation prior to the start of employment. Who You Are You're good at what you do and possess the required experience to prove it. However, equally as important – you have a growth mindset; keen to drive your own personal and professional development while staying on the cutting edge of modern software engineering. You are customer-focused – someone who prioritizes customer success in their work, especially when co-creating tailored AI solutions face-to-face with enterprise clients. And finally, you're open and borderless – naturally inclusive in how you work with others, thriving in a flat, highly collaborative team environment where you share learnings openly across Slack, and Teams. Required Skills and Experience Based in the Dallas-Fort Worth metroplex (or ready to relocate immediately) with a hybrid schedule of 3 days onsite per week at the Frisco, TX 4+ years of professional software engineering experience with strong proficiency in Python and JavaScript/TypeScript backend development. Hands-on experience building and deploying applications using modern AI frameworks and agentic orchestrators (such as LangChain, AutoGen, CrewAI, LangGraph, or Semantic Kernel) in production. Experience designing, building, and maintaining modern frontend applications (React, Angular, or Vue), particularly handling streaming data or real-time query responses. Practical experience with Retrieval-Augmented Generation (RAG) pipelines and vector databases (such as Pinecone, Milvus, Qdrant, or Chroma). Experience building and deploying containerized applications using Docker and Kubernetes across major cloud hyper-scalers (AWS, Azure, or GCP). Solid grasp of the software delivery lifecycle, version control using Git and GitHub, CI/CD pipelines, and data engineering tools (such as Pandas, Spark, and SQL/NoSQL databases like PostgreSQL). Experience partnering with enterprise customers to translate business requirements into technical solutions and troubleshooting system performance, scalability, and reliability. Degree-level qualification in Computer Science, Software Engineering, Informatics, Data Science, or a related technical field (or equivalent practical work experience). Preferred Skills and Experience Experience working with AI/ML frameworks such as TensorFlow or PyTorch, as well as open-source AI ecosystems and libraries including Hugging Face. Experience with LLM infrastructure tools such as LiteLLM gateways, prompt tracing platforms (such as Langfuse), system prompt tuning, model fine-tuning, and vector search caching strategies (such as Redis). Experience using workflow managers (such as Temporal), messaging queues, or streaming platforms like Kafka or RabbitMQ. T-shaped technical profile with deep expertise in full-stack AI engineering combined with broad domain understanding across cloud platforms and enterprise consulting. Active technical contributions or feedback provided to core AI platforms, open-source repositories, or internal frameworks. Flexibility and willingness to travel and work on customer premises as required. Active professional certifications in major cloud hyper-scalers (AWS, Azure, or GCP) or AI-specific development pathways. Advanced degree (Master's or higher) in Computer Science, Software Engineering, Data Science, or a closely related technical discipline. Equal Opportunity Employer All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. The compensation range for the position in the U.S. is - $115,080 to $218,520 based on a full-time schedule. Your actual compensation may vary depending on your geography, job-related skills and experience. For part-time roles, the compensation will be adjusted appropriately. The pay or salary range will not be below any applicable state, city or local minimum wage requirement. There is a different applicable compensation range for the following work locations: California (San Francisco Bay Area):$138,120 to $262,320 California (All Other):$126,600 to $240,480 Colorado:$115,080 to $218,520 Massachusetts$115,080 to $240, Kyndryl