AI Solutions Architect / AI Engineering Advisor

Location: Fully Remote (Maryland, U.S.) Type: Contract Start: Immediate Compensation: TBD — based on skills and experience Important Screening Requirements Candidates must be willing to undergo fingerprinting and a government background investigation (CJIS-type clearance process). This position requires eligibility to work in the United States without current or future visa sponsorship. (Green Card holder) About the Role We are seeking an experienced AI Solutions Architect / AI Engineering Advisor to lead the design, strategy, and deployment of Generative AI solutions on AWS. This is a highly consultative and stakeholder-facing role that combines deep technical expertise with strategic advisory responsibilities. The ideal candidate will serve as a trusted advisor to customer leadership teams, helping define AI roadmaps, governance frameworks, and scalable architectures while guiding the successful implementation of AI-powered applications. Key Responsibilities Design and architect Generative AI solutions on AWS Advise customer leadership on AI strategy, adoption, and governance Build and deploy scalable AI applications leveraging Amazon Bedrock and foundation models Design Retrieval-Augmented Generation (RAG) architectures Implement embeddings and vector database solutions Evaluate and recommend foundation models based on business requirements Establish AI governance, security, and responsible AI best practices Collaborate with engineering teams to operationalize AI solutions in production Provide architectural guidance and technical leadership across AI initiatives Required Qualifications 5+ years of experience in cloud architecture, AI/ML, software engineering, or related fields Hands-on experience designing and deploying Generative AI solutions Strong knowledge of Amazon Bedrock and AWS AI services Experience with foundation models, prompt engineering, and LLM-based applications Experience building Retrieval-Augmented Generation (RAG) solutions Knowledge of embeddings and vector database technologies Strong understanding of scalable cloud architectures and application deployment Excellent communication and stakeholder management skills Ability to engage with both technical teams and executive leadership Preferred Qualifications AWS Certified Solutions Architect (Associate or Professional) Experience advising enterprise customers on AI transformation initiatives Knowledge of AI governance, risk management, and responsible AI frameworks Experience leading AI strategy and architecture discussions with executive stakeholders Background in machine learning, cloud-native application development, or data platforms Apply for this position