5+ years of cloud architecture, AI, machine learning, or data engineering experience
Hands-on experience with Generative AI and Large Language Models
Experience with Amazon Bedrock, SageMaker, and AI application development
Knowledge of RAG architectures, vector databases, and AI governance
Strong customer-facing consulting and communication skills
AWS Solutions Architect certification preferred
AWS AI Practitioner or AWS Machine Learning Specialty preferred
Responsibilities
Assess business use cases for AI, machine learning, and Generative AI
Develop AI adoption roadmaps and governance frameworks
Design AI architectures using AWS AI services such as Bedrock, SageMaker, and Amazon Q
Build proof-of-concept and pilot AI solutions
Develop Retrieval-Augmented Generation (RAG) architectures and knowledge bases
Implement AI-powered automation and workflow solutions
Establish responsible AI practices, guardrails, and governance controls
Benefits
Access to cutting-edge AWS technology and tools
Opportunities for professional development and training
Collaborative work environment fostering innovation
Engagement with a diverse range of clients and industries
Flexible working arrangements promoting work-life balance
Full Job Description
Position Overview
Aligned Technology Group is seeking an AI Solutions Architect to help customers evaluate, design, and implement AI and Generative AI solutions on AWS. This role combines strategic consulting with hands-on architecture and engineering to deliver AI-driven business outcomes.
Responsibilities
Assess business use cases for AI, machine learning, and Generative AI
Develop AI adoption roadmaps and governance frameworks
Design AI architectures using AWS AI services such as Bedrock, SageMaker, and Amazon Q
Build proof-of-concept and pilot AI solutions
Develop Retrieval-Augmented Generation (RAG) architectures and knowledge bases
Implement AI-powered automation and workflow solutions
Establish responsible AI practices, guardrails, and governance controls
Conduct workshops, training sessions, and knowledge transfer activities
Collaborate with business and technical stakeholders to identify AI opportunities
Qualifications
5+ years of cloud architecture, AI, machine learning, or data engineering experience
Hands-on experience with Generative AI and Large Language Models
Experience with Amazon Bedrock, SageMaker, and AI application development
Knowledge of RAG architectures, vector databases, and AI governance
Strong customer-facing consulting and communication skills
AWS Solutions Architect certification preferred
AWS AI Practitioner or AWS Machine Learning Specialty preferred
