Associate Director, Full-stack Forward Deployed Engineer

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 driving the next wave of enterprise AI transformation, delivering mission-critical innovation for global organizations. Operating at the intersection of deep technical architecture and client co-creation, our teams move at market speed to turn complex business challenges into production-ready software systems. As an Associate Director, Full-stack Forward Deployed Engineer, you are the principal technical force customers ask for by name. You will lead high-impact AI engagements, shape modern architectural blueprints, and step into an ultra-fast, high-autonomy builder’s environment. In this role, you take direct accountability for real outcomes in production environments, designing responsive modern frontends, building robust backend data pipelines, and orchestrating advanced multi-agent workflows. You will balance hands-on development—utilizing state-of-the-art retrieval-augmented generation (RAG) architectures, managing LLM API performance, and deploying to cloud hyper-scalers—with strategic client advisory to ensure every solution delivers measurable business value. ** Please note: This role will be on-site in West Palm Beach, Florida. Key Responsibilities Full-Stack Architecture & Rapid Prototyping Build and scale responsive modern frontend interfaces using React, Angular, or Vue designed to handle dynamic generative UI elements and real-time streaming outputs. Develop robust backend APIs, microservices, and data pipelines using Python, JavaScript/TypeScript, or Node.js to connect enterprise systems with advanced language models. Optimize application performance, query execution, and rendering speeds to maintain high reliability and low latency across distributed systems. Agentic AI & Knowledge Systems Integration Design, build, and deploy multi-agent orchestration frameworks using tools like LangChain, AutoGen, or CrewAI that communicate, self-correct, and execute complex enterprise workflows. Configure and optimize Retrieval-Augmented Generation (RAG) architectures and vector engines, integrating both structured and unstructured data sources. Resolve LLM deployment challenges, including API call optimization, token latencies, prompt routing, context window limits, and cost management. Implement system-level security and performance best practices for scalable AI platforms. Client Co-Creation & Technical Ownership Embed directly with enterprise client teams to translate ambiguous business requirements into scalable, high-impact technical architectures. Partner with senior stakeholders to prioritize long-term technical value and solution integrity over quick fixes. Own end-to-end technical delivery from initial scoping through deployment, driving user adoption and operational outcomes. Platform Contribution & Operational Excellence Systematically capture deployment learnings and document architectural best practices to inform ongoing enhancements to Kyndryl’s core platforms. Collaborate daily with lab engineering leads to refine physical deployment pipelines and shared frameworks. Share knowledge, code contributions, and insights openly across Slack, Teams, and cross-functional stand-ups to elevate the broader engineering community. 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 are good at what you do and possess the required technical depth to prove it. However, equally as important, you have a growth mindset and a passion for driving your own personal and professional development in emerging technologies. You are deeply customer-focused, prioritizing client success above all else when co-creating custom AI solutions face-to-face with enterprise teams. Finally, you are open and borderless—naturally inclusive in how you work, thriving in a flat, highly collaborative team where you share learnings openly across our physical Frisco Lab and global digital channels. Required Skills and Experience 4+ years of professional software engineering experience with strong proficiency in Python and JavaScript/TypeScript backend development. Hands-on experience building, designing, and deploying applications using modern frameworks and orchestrators (e.g., LangChain, AutoGen, or CrewAI) in production. Experience designing and maintaining modern frontend applications (React, Angular, or Vue), particularly handling streaming data or real-time query responses. Practical understanding and deployment experience with Retrieval-Augmented Generation (RAG) pipelines and vector databases (e.g., Pinecone, Milvus, Qdrant, Chroma). Experience deploying containerized applications using Docker and Kubernetes to major cloud hyper-scalers (AWS, Azure, or GCP) and distributed computing architectures. Strong proficiency with SQL (PostgreSQL) and NoSQL databases, alongside solid data engineering tools such as Pandas and Spark. Deep familiarity with Git, GitHub, CI/CD pipelines, version control, and modern software delivery best practices. Preferred Skills and Experience Experience with LLM infrastructure tools such as LiteLLM gateways, prompt tracing platforms (e.g., Langfuse), or workflow managers (e.g., Temporal). Familiarity with open-source AI ecosystems (e.g., Hugging Face), agentic frameworks (e.g., LangGraph, Semantic Kernel), system p