Job description
About Aligned Technology Group (Aligned TG)
Aligned TG empowers organizations to harness the full potential of AWS cloud technologies, driving secure, scalable, and sustainable business outcomes. We approach every challenge with grit, embracing a results-driven mindset to ensure our clients achieve their goals. Our mission is to deliver unparalleled cloud advisory, engineering, financial management, and security services while continuously learning and innovating to stay ahead of industry advancements. Guided by a culture of collaboration and humility—where being "Team AWSome" means leaving egos at the door—we tailor our services to meet the unique needs of technology-enabled startups, mid-market, and enterprise clients. With a focus on execution, agility, and excellence, we are the trusted partner businesses rely on to navigate the complexities of cloud modernization and achieve their strategic objectives.
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
Originally posted on Himalayas
Who can apply
Eligible countries: United States. Accepted UTC offsets: UTC-10, UTC-9, UTC-8, UTC-7, UTC-6, UTC-5, UTC+14. Review the full description for employer-specific work authorization, residency and schedule requirements.