Found.dev
Role Highlights
Languages used
Key skills
AI
Data Engineer
Data Architect
Data Infrastructure
Data Governance
Data Lakes
Prompt Engineering
Search Engines
Vector Database
Integrations
Data Processing
Technical Leadership
Product Owner
Cloud Environments
Solution Architect
Streaming Data
LLMs
Generative AI
Transformation
RAG
Architecture
Embeddings
Inference
Deployment
Operations
Machine Learning
ETL
ELT
PAAS
Security
Tools, Libraries and Frameworks
IOS
IBM
Kafka
AWS
Azure
GCP
Kubernetes
OpenShift
SageMaker
LLamaindex
Langchain
Description
The role involves architecting intelligent data platforms that support both traditional analytics and Generative AI workloads. Responsibilities include designing AI-ready data fabrics, implementing Retrieval-Augmented Generation patterns, and establishing LLMOps pipelines. The individual will lead the deployment of end-to-end pipelines for model fine-tuning, versioning, and monitoring. Additionally, the position requires establishing governance frameworks for AI assets to ensure compliance, security, and privacy. The architect will bridge the gap between business leaders and technical teams to translate complex use cases into scalable architectures.
Required Qualifications and Skills
Candidates must possess at least five years of experience in data architecture, data engineering, or technical leadership, with a focus on AI and machine learning initiatives. Required expertise includes designing data platforms, implementing RAG patterns, and managing LLMOps pipelines. Proficiency in cloud platforms, containerized environments, and data integration techniques is necessary. Excellent communication skills are required to articulate complex architectures to stakeholders. Relevant certifications in cloud architecture or AI and machine learning are preferred.
Disclaimer
Disclaimer: Job and company description information and some of the data fields may have been generated via GPT-4 summarisation and could contain inaccuracies. The full external job listing link should always be relied on for authoritative information.
About the company
IBM
Description
IBM infuses core business operations with intelligence, from machine learning to generative AI, to make organizations more responsive, productive, and resilient. It helps clients put AI into action now, creating real value with trust, speed, and confidence across various areas like digital labor, IT automation, and security. The ability to utilize all data is critical, as AI's effectiveness is dependent on the quality of data fueling it, with IBM's AI, and data platform aiming to scale and accelerate AI's impact with trusted data. IBM's hybrid cloud platform offers a comprehensive approach to development, security, and operations across hybrid environments, laying a flexible foundation for leveraging data wherever it resides.
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