Agentic AI Architect

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.

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.

• 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.

You’re good at what you do and possess the required experience to prove it. Equally 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).
• 6+ years of experience in full‑stack development, with a track record of building scalable, production‑ready systems.
• Strong proficiency in JavaScript/Type Script, Python, and modern front‑end frameworks (React, Vue, or Angular).
• Experience with agentic frameworks such as Lang Chain, Auto Gen 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, No
  
  SQL, Firebase, Mongo
  
  DB, Postgre
  
  SQL).
• Ability 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., Rabbit
  
  MQ, Kafka) and caching systems (e.g., Redis).

• 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.

• 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.
• Direc…