Kyndryl · 1 day ago
Fullstack Agentic AI Architect
Kyndryl is a technology services company that designs, builds, manages, and modernizes critical technology systems. The Agentic AI Architect role involves leading the architectural design for enterprise-scale AI platforms, integrating advanced AI capabilities, and ensuring robust, scalable solutions are delivered efficiently.
Information Technology & Services
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
Qualification
Required
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)
Preferred
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
Medical and dental coverage
Disability
Retirement benefits
Paid leave
Paid time off
Company
Kyndryl
Kyndryl is an information technology and services company.
H1B Sponsorship
Kyndryl has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (37)
2024 (35)
2023 (20)
2022 (39)
2021 (2)
Funding
Current Stage
Public CompanyTotal Funding
$500M2024-02-20Post Ipo Debt· $500M
2021-11-04IPO
Leadership Team
Recent News
2025-12-22
Mobile World Live
2025-12-16
Fierce Network
2025-12-16
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