Fullstack Agentic AI Architect
Role details
Job location
Tech stack
Job description
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.
You'll combine deep technical expertise with architectural vision - designing distributed systems, setting quality standards, and guiding teams to deliver robust, scalable solutions. Expect a true builder's environment, where MVP rollouts happen in weeks, and your ideas shape the future of enterprise AI.
What You'll Do
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Design and deliver distributed architectures for large-scale, cloud-based enterprise systems (AWS, Azure, GCP).
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Integrate Agentic AI capabilities into enterprise software.
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Act as a technical authority, setting standards for security, scalability, and performance, ensuring poor code or weak architecture is prevented from entering production.
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Translate vague customer requirements into actionable technical designs.
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Lead discussions, challenge ideas, and align teams on a clear technical direction.
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Collaborate with engineers and stakeholders to ensure timely delivery of MVPs and production-ready solutions.
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Design and develop robust back-end services using Node.js, Python, or other back-end technologies.
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Integrate large language models (LLMs) and multimodal AI models into applications.
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Optimize application performance, ensuring efficiency in AI inference and API response times.
Requirements
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. You are customer-focused - someone who prioritizes customer success in their work. And finally, you're open and borderless - naturally inclusive in how you work with others., + Bachelor's degree in Computer Science, Software Engineering, or a related field (or equivalent experience).
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6+ years of experience in full-stack development, with a track record of building scalable, production-ready systems.
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Strong proficiency in JavaScript/TypeScript, Python, and modern front-end frameworks (React, Vue, or Angular).
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Experience with agentic frameworks such as LangChain, AutoGen or CrewAI.
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Hands-on experience with integrating AI models via APIs (OpenAI, Hugging Face, etc.).
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Knowledge of vector databases, embeddings, and retrieval-augmented generation (RAG) techniques.
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Experience with cloud platforms (e.g., AWS, Azure, GCP), containerization (Docker, Kubernetes), and CI/CD pipelines.
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Strong understanding of database technologies (SQL, NoSQL, Firebase, MongoDB, PostgreSQL).
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Ability to design scalable and maintainable architectures for AI-driven applications.
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Capable of working closely with cross-functional teams to deliver cohesive, end-to-end functionality.
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Knowledge of message queues (e.g., RabbitMQ, Kafka) and caching systems (e.g., Redis).
Preferred Skills and Experience
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Experience with Temporal Workflows, Langfuse, LLM gateways such as LiteLLM
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Prior experience in prompt engineering
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Experience in building AI-powered chatbots, content generators, or recommendation systems.
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Familiarity with LLM fine-tuning, prompt engineering, and AI model optimization.
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Knowledge of serverless computing, edge AI, and streaming architectures.
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Background in handling large-scale data or real-time systems.
Benefits & conditions
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. 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.