Fullstack Agentic AI Architect

Kyndryl

Agentic AI Architect designing and delivering scalable AI platforms for enterprise systems at Kyndryl. Leading technical authority in integrating Agentic AI within software solutions while maintaining security and performance standards.

Posted 5/10/2026full-timeDallas • Texas • 🇺🇸 United StatesMid-LevelSenior💰 $138,480 - $263,160 per yearWebsite

Tech Stack

Tools & technologies

AngularAWSAzureCloudDockerFirebaseGoogle Cloud PlatformJavaScriptKafkaKubernetesMongoDBNode.jsNoSQLPostgresPythonRabbitMQReactRedisSQLTypeScriptVue.js

About the role

Key responsibilities & impact

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

What you’ll need

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)

Benefits

Comp & perks

Medical and dental coverage
Disability
Retirement benefits
Paid leave
Paid time off

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

Node.jsPythonJavaScriptTypeScriptReactVueAngularLangChainAutoGenCrewAI

Soft Skills

leadershipcollaborationcommunicationproblem-solvingtechnical authoritycustomer requirements translationteam alignmentdiscussion facilitationtimely deliveryscalability design

Certifications

Bachelor’s degree in Computer ScienceBachelor’s degree in Software Engineering