We design, build, manage and modernize the mission-critical technology systems that the world depends on every day.
Fullstack AI Architect
Location
Texas
Posted
1 day ago
Salary
$138.5K - $263.2K / year
Seniority
Senior
Job Description
Fullstack AI Architect
Kyndryl
• 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.
Job 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).
Benefits
- medical and dental coverage
- disability
- retirement benefits
- paid leave
- paid time off
- discretionary annual bonus program
- professional development opportunities
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