Fullstack Agentic AI Architect
About the role
As an Agentic AI Architect at Kyndryl, you’ll work on cutting-edge frameworks that are a generation ahead of today’s frontier technologies. This is a strategically important role for Kyndryl, offering the opportunity to lead architecture design for enterprise-scale AI platforms that integrate Agentic AI capabilities.
Responsibilities
- Design and deliver distributed architectures for large-scale, cloud-based enterprise systems (AWS, Azure, GCP).
- Integrate Agentic AI capabilities into enterprise software.
- Act as a technical authority, setting standards for security, scalability, and performance, ensuring poor code or weak architecture is prevented from entering production.
- Translate vague customer requirements into actionable technical designs.
- Lead discussions, challenge ideas, and align teams on a clear technical direction.
- Collaborate with engineers and stakeholders to ensure timely delivery of MVPs and production-ready solutions.
- Design and develop robust back-end services using Node.js, Python, or other back-end technologies.
- Integrate large language models (LLMs) and multimodal AI models into applications.
- Optimize application performance, ensuring efficiency in AI inference and API response times.
- Ensure security, scalability, and compliance of AI-driven applications.
- Stay up to date with the latest advancements in Generative/Agentic AI, web development, and cloud technologies.
Requirements
- Bachelor’s degree in Computer Science, Software Engineering, or a related field (or equivalent experience).
- 6+ years of experience in full-stack development, with a track record of building scalable, production-ready systems.
- Strong proficiency in JavaScript/TypeScript, Python, and modern front-end frameworks (React, Vue, or Angular).
- Experience with agentic frameworks such as LangChain, AutoGen or CrewAI.
- Hands-on experience with integrating AI models via APIs (OpenAI, Hugging Face, etc.).
- Knowledge of vector databases, embeddings, and retrieval-augmented generation (RAG) techniques.
- Experience with cloud platforms (e.g., AWS, Azure, GCP), containerization (Docker, Kubernetes), and CI/CD pipelines.
- Strong understanding of database technologies (SQL, NoSQL, Firebase, MongoDB, PostgreSQL).
- Able to design scalable and maintainable architectures for AI-driven applications.
- Capable of working closely with cross-functional teams to deliver cohesive, end-to-end functionality.
- Knowledge of message queues (e.g., RabbitMQ, Kafka) and caching systems (e.g., Redis).
Preferred Skills And Experience
- Experience with Temporal Workflows, Langfuse, LLM gateways such as LiteLLM.
- Prior experience in prompt engineering.
- Experience in building AI-powered chatbots, content generators, or recommendation systems.
- Familiarity with LLM fine-tuning, prompt engineering, and AI model optimization.
- Knowledge of serverless computing, edge AI, and streaming architectures.
- Background in handling large-scale data or real-time systems.
Benefits
At Kyndryl, you will have the opportunity to work on the next frontier: Agentic AI is new and transformative, be part of defining its enterprise adoption. Startup energy and enterprise scale: agile innovation backed by global resources. Direct impact: Your code will power Kyndryl’s AI-native transformation.
Pay
The compensation range for the position in the U.S. is $138,480 to $263,160 based on a full-time schedule. Your actual compensation may vary depending on your geography, job-related skills and experience.
Schedule
This position will be eligible for Kyndryl’s discretionary annual bonus program, based on performance and subject to the terms of Kyndryl’s applicable plans.