domain

AWS AI Solutions Architect / AI Engineering Advisor

US Baltimore, MD, US
Onsite 2026-06-26
Estimated salary · Baltimore
~ $83,700 - $145,400
Low
$94K
Median
$122K
High
$160K
Market in Baltimore · BLS OEWS 2025
Estimated net pay
$5,342 - $8,654
/month · 23% withheld
after tax & contributions · on the estimated salary · Single, no dependents

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 engine

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