CyberSWIFT
Senior AI Architect - NLP & LLM Integration
Job Location:
Columbus, OH (Onsite)
Requirements
10+ years of experience in designing and deploying AI-driven application architectures leveraging Vector Databases and Retrieval-Augmented Generation (RAG).
Proficiency in Natural Language Processing (NLP) frameworks for intelligent data extraction and contextual information retrieval.
Experience with implementing and fine-tuning Large Language Models (LLMs) for enterprise-level search and content systems.
Experience in building scalable AI infrastructures with secure data handling and compliance for sensitive or confidential information.
Experience with data indexing, embedding models, and query optimization across structured and unstructured datasets.
Experience in leading multidisciplinary technical teams in AI solution design and implementation.
Strong communication, collaboration, and leadership skills with the ability to work independently and present complex ideas clearly.
Responsibilities
Architect and implement a modern AI-powered search and data retrieval ecosystem using Vector Databases, RAG, and LLMs.
Define system architecture, integration patterns, and deployment pipelines for scalable, high-performance AI solutions.
Develop data ingestion, preprocessing, and embedding strategies to enhance document and knowledge discovery.
Collaborate with internal stakeholders to translate business requirements into technical specifications for AI infrastructure.
Ensure enterprise-grade data protection, model security, and access control within the deployed environment.
Lead technical teams in iterative development, testing, and optimization of AI-enabled applications.
Provide strategic guidance, technical mentorship, and long-term vision for AI adoption across organizational systems.
Seniority level Mid-Senior level
Employment type Contract
Job function Research, Analyst, and Information Technology
Industries IT Services and IT Consulting
Salary Columbus, OH $155,000.00 - $410,000.00
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Columbus, OH (Onsite)
Requirements
10+ years of experience in designing and deploying AI-driven application architectures leveraging Vector Databases and Retrieval-Augmented Generation (RAG).
Proficiency in Natural Language Processing (NLP) frameworks for intelligent data extraction and contextual information retrieval.
Experience with implementing and fine-tuning Large Language Models (LLMs) for enterprise-level search and content systems.
Experience in building scalable AI infrastructures with secure data handling and compliance for sensitive or confidential information.
Experience with data indexing, embedding models, and query optimization across structured and unstructured datasets.
Experience in leading multidisciplinary technical teams in AI solution design and implementation.
Strong communication, collaboration, and leadership skills with the ability to work independently and present complex ideas clearly.
Responsibilities
Architect and implement a modern AI-powered search and data retrieval ecosystem using Vector Databases, RAG, and LLMs.
Define system architecture, integration patterns, and deployment pipelines for scalable, high-performance AI solutions.
Develop data ingestion, preprocessing, and embedding strategies to enhance document and knowledge discovery.
Collaborate with internal stakeholders to translate business requirements into technical specifications for AI infrastructure.
Ensure enterprise-grade data protection, model security, and access control within the deployed environment.
Lead technical teams in iterative development, testing, and optimization of AI-enabled applications.
Provide strategic guidance, technical mentorship, and long-term vision for AI adoption across organizational systems.
Seniority level Mid-Senior level
Employment type Contract
Job function Research, Analyst, and Information Technology
Industries IT Services and IT Consulting
Salary Columbus, OH $155,000.00 - $410,000.00
#J-18808-Ljbffr