Position Details

Type Full-Time

Experience mid

Exp. Years Not specified

Education Not specified

Category AI & Machine Learning

About this role

Designs and implements end-to-end AI architectures for generative AI and ML solutions, focusing on security, scalability, and deployment in cloud environments.

Key Responsibilities

Design AI solution architectures
Build reusable code templates
Architect data retrieval pipelines
Ensure security and compliance
Collaborate with data engineering teams

Technical Overview

Technical scope includes data ingestion, model training, inference pipelines, cloud-native architectures, MLOps tools, and secure AI platform build-out.

Ideal Candidate

The ideal candidate is a technically skilled AI architect with experience designing and implementing generative AI solutions, especially RAG architectures, in cloud environments. They should have strong collaboration skills and a hands-on approach to building scalable, secure AI platforms.

Must-Have Skills

end-to-end architecture designAI solution implementationmodel training and inference pipelinescloud-native patternsMLOps/LMMOps toolingdata engineeringsecurity and compliancedocumentation

Nice-to-Have Skills

vector databasesgrounding strategiesprompt orchestrationmodel evaluation frameworks

Tools & Platforms

cloud platformsvector search toolsML frameworks

Required Skills

Generative AIAI/MLRAGvector searchprompt orchestrationMLOpsdata pipelinescloud-native patternssecuritycompliancemodel evaluationdata engineering

Hard Skills

Generative AIAI/MLData-driven AIGenAI architecturesRetrieval-Augmented GenerationRAGcloud-native patternsMLOpsLMMOpsvector searchprompt orchestrationmodel evaluationdata pipelinessecure architectureshigh-quality documentation

Soft Skills

collaborationtechnical communicationproblem-solvingdelivery focuspartnering

Industry & Role

Industry Education & Training

Job Function AI architecture design and implementation

Role Subtype AI & Machine Learning

Tech Domains Active Directory, Microsoft 365, Azure, Amazon Web Services, Google Cloud Platform

Keywords for Your Resume

AI ArchitectGenerative AIAI/MLGenAI architecturesRAGvector searchprompt orchestrationMLOpsLMMOpsdata pipelinescloud-native patternssecuritycompliancemodel evaluationdata engineeringmodel traininginference pipelinescloud-nativedocumentation

Deal Breakers

Lack of experience with end-to-end AI architecture, No cloud-native or MLOps experience, No experience with generative AI or RAG, Unable to work remotely in US

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