Fullstack Agentic AI Architect

Kyndryl • Lansing, MI

1d

About The Position

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.

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).
• 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., RabbitMQ, Kafka) and caching systems (e.g., Redis).

Nice To Haves

• 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.

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.

Benefits

• medical and dental coverage
• disability
• retirement benefits
• paid leave
• paid time off
• Kyndryl’s discretionary annual bonus program
• access to the best learning in the industry to receive certifications, including Microsoft, Google, Amazon, Skillsoft, and many more.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior